CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: On the Mission Engineering team at CHAOS, you will design, develop, execute, analyze, and validate models and simulations to deliver operational analysis and system performance assessment across defense, national security, and commercial programs. You will have freedom to move rapidly and use your expertise to apply rigorous statistical methods to analyze simulation outcomes, quantify system effectiveness, and communicate actionable insights to technical teams, leadership, and customers. Your work will directly inform critical decisions around sensor performance, mission planning, weapon effectiveness, and platform capability evaluation.

This is a foundational hire. You will shape how CHAOS does mission analysis from day one, and you will have the freedom to move fast.

What You'll Do:

• Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing your competing priorities and timelines effectively.
• Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
• Build and refine models of sensors, communications systems, aircraft (including unmanned), weapons, and spacecraft within mission-level simulation frameworks.
• Architect, implement, and validate models of both blue and red systems, sensors, communications, weapons, aircraft, spacecraft, and ground/maritime platforms, within mission- and engagement-level simulation frameworks.
• Define and apply rigorous statistical methodologies to simulation results to quantify measures of effectiveness and performance to produce relevant and defensible findings for internal and external stakeholders.
• Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
• Implement technical methodology, simulation best practices, and customer engagement.
• Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to both technical and non-technical audiences.
• Partner with engineering, product, growth, and customer teams to translate operational questions into well-structured analytical approaches and shape new business pursuits. Push back when the framing is wrong.

Minimum Requirements:

• Bachelor's degree or higher in Computer Science, Aerospace/Software/Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
• 5+ years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
• Demonstrated track record leading mission-level operations analysis studies and delivering decision-quality results to senior engineering and customer stakeholders.
• Extensive direct experience with combat simulations such as AFSIM, ESAMS, Brawler, Ansys STK, or equivalent, including ownership of rigorous methodology, not just execution.
• Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
• Strong proficiency in Python and MATLAB, including standard scientific computing libraries (such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch).
• Exceptional data visualization skills and comfort developing CONOPS/OV-1 visuals and briefing packages.
• Proficiency with software development practices including version control and leveraging/validating outputs of AI-assisted coding tools.
• Demonstrated ability to lead analytical efforts and deliver products with minimal oversight, including leading projects and studies.
• Comfortable working on Linux-based systems and writing scalable scripts and software.
• Exceptional written and verbal communication skills, including experience briefing flag/general officer or SES-level audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance 

Preferred Requirements:

• Active TS/SCI clearance.
• Recognized expertise analyzing the full kill chain (find, fix, track, target, engage, assess) across multiple domains, including air-to-air, air-to-surface, surface-to-air, space, and electronic warfare engagements.
• Deep expertise in sensor performance analysis (especially radar) and in developing and validating models of sensors, communications, weapons, aircraft, spacecraft, or ground/maritime systems in mission-level simulation environments such as AFSIM or Ansys STK.
• Experience leading study teams or technical working groups across organizations, including model accreditation, V&V efforts, or threat-informed scenario development.
• Experience designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting system effectiveness or kill chain assessment.
• Exposure to Distributed Interactive Simulation (DIS) networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
• Experience supporting rapid development programs across DoD services, DARPA, ONR, AFRL, COCOMs, the acquisition community, or commercial advanced technology programs.
• Experience supporting capture and positioning activities (RFI/RFP responses, white papers, technical exchanges) and shaping new business pursuits.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Local or 100% Remote

About Point

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We’ve earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.

About the role

We are seeking a Senior Data Scientist to join our growing data team. You will be responsible for building and deploying machine learning models to support marketing, customer engagement, and core business use cases. You will also monitor model performance, identify and mitigate model deterioration, forecast business outcomes, and maintain high-quality datasets. The role is not limited to working on machine learning and model development and will also include, but not limited to advanced analytics projects such as root-cause analysis, identifying trends in data and building time-series projections.

This is an excellent opportunity for someone advanced in their data science career to enhance their skills in applied machine learning while working closely with other senior data scientists, engineers, and cross-functional stakeholders.

Your responsibilities

• Model Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problems.
• Model Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measures.
• Forecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisions.
• Data Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modeling.
• Collaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutions.
• Documentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholders.

About you

• 4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count).
• Familiarity and experience working with AI toolkits such as Claude or Gemini or similar.
• Strong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
• Familiarity with SQL for data extraction and transformation.
• Experience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoring.
• Understanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
• Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analytics.
• Excellent problem-solving skills and ability to communicate insights clearly.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree is a plus.
• Advanced knowledge of AI tools
• Expertise on BI dashboarding tools such as Sigma or Tableau preferred
• Strong Excel skills

Our benefits 

• Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
• Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays. 
• Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ. 
• Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.
• Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success. 
• Financial wellness:  We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage. 
• Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450
• Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $164,350 - $181,65
• Tier 3 | All other US metro areas | $156,750 - $173,250

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. 

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 6+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority, primarily through our EagleEye augmented reality system. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 9+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

IMC Americas, Inc. has multiple openings for Trader (REQ#4461664101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Develop, maintain, and enhance mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers (10%).
• Independently design and implement changes to trading models, strategies, and systems from end-to-end, including conceiving of proposed changes, creating a testing plan, and performing tests, and implementing changes (15%).
• Analyze, interpret, and model financial, economic, and industry data to optimize trading and maximize revenue generation using existing internal tools (15%).
• Create custom analysis tools for use at the firm to perform research beyond available analysis tools (5%).
• Prepare and present high-quality financial analysis and reports following IMC global guidelines (15%).
• Perform daily operational tasks on the trading desk, ensuring systems are running correctly and escalating as needed to designated contacts (15%).
• Supervise and mentor graduate traders and interns (10%).
• Train graduate traders through the firm's traineeship (5%).
• Contributing to planning and prioritization decisions of future projects on their trading desk (5%).
• Monitoring and managing a trading firm's risk exposure (5%).

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4461664101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Mathematics, Econometrics, Computer Science, Financial Engineering, Physics, or similarly quantitative and mathematical field and one (1) year of experience in the job offered or a related position.

Must have experience in the following skills:

• Developing, maintaining, and enhancing mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers;
• Operating trading strategies through a range of market circumstances, having a thorough understanding of risk at any point in time;
• Rolling out and verifying new features on trading strategies;
• Managing a trading firm's risk exposure;
• Using Python and python coding libraries, including Pandas, NumPy, and SciPy to assist in quantitative analysis; and
• Experience trading products and navigating compliance regulations in trading markets. 

Requires FINRA Certifications: (1) SIE and (2) Series 57.

#LI-DNI

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available.

Quantitative Researcher (Requisition ID: 4453347101)

Your Skills and Experience

This position requires a PhD, or foreign equivalent, in Finance, Financial Mathematics, Financial Engineering, Statistics, Computational Mathematics or similarly quantitative and mathematical field.

Must have demonstrated experience in each of the following skill(s):

• Application of analytical and quantitative techniques to solve complex problems;
• Designing and implementing mathematical models and algorithms, including linear modeling, convex optimization, and numerical methods for large-scale data and parameter estimation;
• Developing and using computational data analysis tools for research;
• Statistical programming techniques (including Python or C++) and designing and executing independent quantitative research projects, including formulation of hypotheses, development of models, empirical testing, and clear documentation of results;
• Time series analysis, applied statistics, and theoretical mathematics (such as probability, measure theory/real analysis, and linear algebra);
• Implementing algorithms, conducting data analysis, and building research pipelines using numerical and scientific computing libraries (such as NumPy, pandas, SciPy) and version control (such as Git);
• Experience with time series modeling and forecasting, including stochastic processes and state-space or related frameworks, such as applied to real-world data; and
• Conducting literature reviews and replicating and extending prior work with methodological rigor and reproducibility.

#LI-DNI

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of space missions.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Outstanding communication skills to include visual presentation of complex data
• Strong background in orbital mechanics and space environment
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 3+ years in a relevant Science/Engineering field
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Senior Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of space missions.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Outstanding communication skills to include visual presentation of complex data
• Strong background in orbital mechanics and space environment
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 8+ years in a relevant Science/Engineering field
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $136,000-$184,000

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

The Role

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. As a Quantitative Researcher, you’ll operate near the tip of the spear in a collaborative, dynamic environment. This includes close partnership with other researchers, traders, and engineers on quantitative problem-solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of one of our Quant teams at CTC! 

We prioritize team matching at the outset of our hiring process, thoughtfully considering which of our two teams (Vol Overlay or Delta Force) offers the best fit for each candidate’s strengths and interests while also aligning to the firm’s highest priority needs. 

What We’re Looking For   

We are seeking a Quantitative Researcher who can seamlessly blend academic rigor with practical application in our fast-paced trading environment. This individual will partner with our Trading and Technology teams to strengthen, scale, and evolve the firm's trading capabilities. The ideal candidate will possess a unique combination of analytical prowess, programming skills, and eye for business, driving innovation and results in quantitative finance. 

Responsibilities 

• Analyze market data to come up with economic and microstructure hypotheses 
• Build predictive and explanatory models to describe financial markets 
• Add revenue by applying thorough research processes to real life business problems 
• Contribute to ongoing improvement of research and trading infrastructure 

Qualifications 

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) 
• Proven ability to conduct independent, high-quality research 
• Exceptional ability to communicate complex ideas and research results, both in writing and verbally 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes. 
• Demonstrated expertise in applying quantitative modeling techniques to large, complex datasets 
• Strong track record of publications in an industry setting 
• Advanced Python programming skills 

Nice to Have 

• Proficiency in C++ 
• Experience in financial markets 
• Experience using NumPy and Pandas libraries 
• Experience with the software development lifecycle 

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems.

What You'll Do :

• Collect, clean, and preprocess structured and unstructured data
• Perform exploratory data analysis to identify trends and insights
• Build and evaluate machine learning models under guidance
• Develop data visualizations and dashboards to communicate findings
• Assist in deploying models and monitoring their performance
• Work with large datasets using tools like Python, SQL, and cloud platforms
• Document processes, experiments, and results clearly
• Participate in team demos, feedback sessions, and learning opportunities.
• This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.

What We're Looking For:

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field.
• Experience writing code in Python (or another general-purpose language).
• Strong interest in artificial intelligence, machine learning, or software engineering.
• Basic understanding of statistics and machine learning concepts
• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch
• Experience with SQL and working with databases
• Strong analytical and problem-solving skills
• Excellent communication skills and willingness to collaborate with teammates and customers.

Nice-to-Haves

• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Knowledge of version control (Git)
• Exposure to big data tools (Spark, Hadoop) is a plus

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

Position Overview 

We are seeking a capable and energetic Environmental Test Engineer to validate our satellite’s ability to survive the harsh conditions of launch and Low Earth Orbit (LEO). In this role, you will be responsible for the end-to-end planning, coordination, and execution of critical test campaigns. You will work closely with systems, mechanical, and electrical engineering teams to ensure mission readiness. The ideal candidate thrives in a fast-paced, dynamic environment and demonstrates strong ownership over their work, making a direct impact on the success of our rapidly growing business.

Key Responsibilities:

• Perform Thermal Vacuum (TVAC), vibration, and shock testing on components, subsystems, and fully assembled satellites.
• Coordinate logistics and scheduling with internal engineering teams and external test facilities.
• Work with and oversee environmental test vendors during off-site testing campaigns.
• Support test article instrumentation (e.g., thermocouples, accelerometers, strain gauges) and data acquisition system setup.
• Analyze test data, interpret results, and provide actionable feedback to design and manufacturing groups.
• Own, operate, and maintain internal environmental test infrastructure, ensuring compliance with safety protocols.
• Lead root cause analysis and drive the resolution of test anomalies and failures.
• Contribute to the continuous improvement of test processes, procedures, and documentation.
• Serve as the subject-matter expert on environmental test equipment and methodologies.

Qualifications

Education:

Bachelor’s degree in mechanical engineering, aerospace engineering, or a related technical field.

Experience:

• A minimum of 3 years of direct, hands-on experience in environmental testing of aerospace, defense, or other high-reliability systems.
• Working knowledge of relevant environmental test standards (e.g., NASA GEVS, MIL-STD-810).
• Demonstrated proficiency with TVAC chambers and vibration tables (sine/random).
• Ability to read and interpret mechanical drawings, electrical schematics, and technical specifications.
• Excellent mathematical, analytical, and problem-solving skills.
• Hands-on experience with test instrumentation and data acquisition systems.

Preferred Qualifications:

• Direct experience with environmental testing of satellites or spacecraft.
• In-depth knowledge of aerospace materials and their behavior in vacuum, thermal, and vibrational environments.

Soft Skills:

• A proactive and accountable approach to managing projects from planning to completion.
• The ability to thrive and prioritize effectively in a fast-paced, dynamic R&D and manufacturing environment.
• Strong interpersonal skills to work effectively with cross-functional engineering teams and external vendors.
• A methodical and analytical mindset for troubleshooting complex test anomalies.
• Clear and concise written and verbal communication skills for reporting results and documenting processes.

Technology Stack:

• NASA GEVS, MIL-STD-810
• TVAC Chambers, Electrodynamic Shakers (Vibration Tables), Shock Test Systems, Data Acquisition (DAQ) Hardware
• Accelerometers, Thermocouples, Strain Gauges, Force Sensors
• Data Analysis Software (e.g., MATLAB, Python - NumPy/SciPy), DAQ Control Software (e.g., LabVIEW, Dewesoft, m+p Analyzer)

Physical Requirements

• Ability to stand and walk for extended periods in a lab environment.
• Must be able to lift and carry test equipment and components up to 40 pounds.
• Manual dexterity required to handle and install sensitive instrumentation and cabling.
• Ability to work in an environment with moderate noise levels from test equipment.
• Visual acuity to read schematics and inspect small components.
• May require occasional travel to external test facilities.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Senior RAN System Architect to lead the definition, integration, optimization, and product roadmap execution of LTE/5G radio systems across our global satellite-ground infrastructure—the first and only space-based cellular broadband network accessible directly by standard mobile phones.

This role sits at the intersection of beamforming, fronthaul design, scheduler behavior, and interference management, while also owning the translation of system capabilities into a coherent product roadmap and serving as a trusted technical interface to customers and partners.

The ideal candidate brings deep experience from a leading RAN vendor, a strong understanding of baseband design and scheduling pipelines, and the ability to bridge engineering realities with customer expectations in a fast-moving, non-traditional deployment environment.

Key Responsibilities

• Lead end-to-end RAN performance optimization by analyzing and tuning eNB/gNB behavior to maximize cell throughput (TpT), coverage, reliability, and interference efficiency.
• Ensure robust operation of terrestrial RAN features—such as scheduling, MIMO, mobility, and interference coordination—when deployed over AST's space-based infrastructure via standard CPRI/eCPRI interfaces.
• Own cell- and network-level performance modeling, including:
  • Spectral efficiency
  • Cell density and reuse strategies
  • Beam transitions and UE tracking
  • Interference prediction and mitigation
• Own the RAN feature roadmap: define, prioritize, and sequence feature delivery in collaboration with product management and engineering leads, balancing technical feasibility, development complexity, and commercial commitments.
• Drive feature provisioning end-to-end—from requirements definition and vendor engagement through integration, validation, and controlled enablement across the network—ensuring new capabilities are introduced reliably and without degrading existing performance.
• Manage customer and partner expectations by translating complex system constraints and development timelines into clear, honest, and actionable communications; serve as the primary technical point of contact for feature-related inquiries from operators, partners, and key stakeholders.
• Maintain a living capability roadmap that honestly reflects the gap between customer-expected functionality and current system state and defines a credible path—with milestones and dependencies—to close that gap.
• Collaborate with system integration, DSP, RF, and core network teams to align baseband behavior with AST's product goals.
• Define test strategies and validation plans that ensure system-wide performance across the satellite, ground, and RAN layers.
• Serve as a key technical interface to RAN vendors and partners, participating in debugging, integration workshops, and roadmap alignment.

Qualifications

Education:

• BSc or MSc in Electrical Engineering, Communications Engineering, or related field from a recognized institution.
• Relevant certifications in cellular systems or wireless communications (e.g., 3GPP, LTE/5G) are a plus.

Experience:

• A minimum of 8–12 years in cellular system engineering, RAN performance, or architecture roles (including vendor-side experience).
• Proven experience in real cellular network deployment and optimization (lab and field).
• Expertise in 3GPP specifications for 4G and 5G, with hands-on interpretation and application to system design.
• Firm understanding of PHY/MAC/RLC/PDCP/RRC layers and their interplay in baseband systems.
• Demonstrated experience owning or co-owning a technical product roadmap, including prioritization under uncertainty and communication of trade-offs to non-engineering stakeholders.

Preferred Qualifications:

• Experience with non-terrestrial networks (NTN) or space-ground hybrid architecture.
• Hands-on background with beamforming systems, antenna arrays, and RF front-end constraints.
• Familiarity with traffic modeling, scheduler design, and spectral efficiency optimization at scale.
• Experience working with RAN vendors (e.g., integration, debugging, feature enablement).
• Knowledge of fronthaul protocols (CPRI/eCPRI) and transport considerations in constrained or high-latency environments.
• Background in predictive modeling, data science, or simulation frameworks for network planning.
• Exposure to O-RAN architectures and vendor interoperability.
• Experience interfacing directly with MNO customers or enterprise partners on capability delivery, timeline commitments, or technical pre-sales engagements.

Soft Skills

• Strong interpersonal skills with the ability to lead cross-functional technical discussions (DSP, RF, Systems, Core).
• Proven ability to collaborate effectively within distributed, multidisciplinary teams.
• Excellent written and verbal communication skills; able to distill complex concepts for technical and executive audiences.
• Comfortable delivering difficult messages—whether to customers facing delayed features or to internal teams pushing back on unrealistic commitments—with clarity, data, and constructive alternatives.
• Skilled at roadmap storytelling: able to frame development trade-offs and sequencing logic in a way that builds confidence with operators, partners, and leadership.
• Meticulous attention to detail to ensure the accuracy of models, documentation, and deliverables.
• Analytical problem solver with a bias toward measurable outcomes and system-wide impact.
• Ownership mindset; comfortable navigating ambiguity in cutting-edge, non-traditional deployments.

Technology Stack

• RAN & Baseband: eNB/gNB stacks, scheduler frameworks, MIMO/beamforming, HARQ, CQI/PMI/RI, mobility and ICIC/eICIC/CoMP.
• Interfaces & Transport: CPRI/eCPRI, O-RAN interfaces, Ethernet/IP transport, timing/synchronization (PTP, GPS).
• Modeling & Simulation: MATLAB, Python, NumPy/Pandas, simulation tools for link/system-level performance.
• Data & Visualization: Jupyter, data pipelines for KPI analysis; familiarity with logging/telemetry systems.
• Product & Roadmap Tools: familiarity with roadmap management frameworks (e.g., Jira, Confluence, or equivalent) and structured feature tracking practices.
• Standards & Specs: 3GPP (LTE/NR), NTN-related specs, vendor roadmaps and interoperability frameworks.

Physical Requirements

• Ability to work in a standard office environment and use a computer for extended periods.
• Ability to participate in lab testing environments with standard RF and baseband equipment.
• May require occasional travel for integration workshops, vendor engagements, customer visits, or field validations.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

ABOUT THE TEAM

Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization, we are seeking Modeling, Simulation and Analysis (MSA) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Modeling, Simulation and Analysis (MSA) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.

Join our Flight Engineering team advancing the Air Dominance and Strike division's portfolio, where we push the boundaries of aerospace technology. We are seeking exceptional MSA Engineers to shape the next generation of advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate cutting-edge MSA system architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.

ABOUT THE JOB

We are looking for a Modeling, Simulation and Analysis Engineer to join our team.  As part of the team you will have the opportunity to develop, implement and maintain a sufficient fidelity virtual representation of the myriad of different vehicles that Anduril works on.  In this role you will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs on going at Anduril.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products:
• Simulation solutions for Guidance, Navigation and Control algorithm development
• Software-In-The-Loop (SITL) solutions
• Hardware-In-The-Loop (HITL) solutions
• Pilot-In-The-Loop (PITL) solutions
• Customer product training solutions
• Monte-Carlo simulation analysis
• Simulation and Test data analysis tools and processes
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions
• Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• 8+ years of experience 
• Experience with aerospace/aeronautical systems (including missiles, rotorcraft/VTOL) and/or Subsea vehicles
• Experience in flight dynamics/platform physics and control
• Proficiency with C/C++
• Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)
• Flight test data processing/sim correlation experience
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Experience with model development to support Guidance, Navigation and Control algorithm development
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Advanced proficiency with C/C++
• Flight test support experience
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
• Experience with developing emulated/simulation interfaces for on-board avionics

ABOUT THE TEAM

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical.

ABOUT THE JOB

We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation.

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a "Whatever It Takes" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

WHAT YOU'LL DO

• Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.
• Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.
• Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments
• Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.
• Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.
• Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

REQUIRED QUALIFICATIONS

• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.
• Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques.
• Fluency in standard domain libraries (numpy, opencv, pytorch, etc).
• Proven understanding of data structures, algorithms, concurrency, and code optimization.
• 6+ years of professional industry experience working with C++ or Rust programming languages.
• Experience deploying software to end customers, internal or external.
• Must be willing to travel 25%.
• Eligible to obtain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.
• Experience with perception systems for aerial robotics or other highly dynamic platforms.
• Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, stereo cameras, or TOF cameras.
• Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.
• Experience with GPU / CUDA programming for accelerated computer vision processing.

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril Labs. In this role, you will be instrumental in developing advanced algorithms and software solutions to tackle complex, multi-domain optimization problems critical to national defense and Anduril’s autonomous systems.

The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus. You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges. You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments). Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.
• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.
• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.
• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.
• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.
• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.
• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.
• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.
• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.
• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar
• Expert proficiency in Python for scientific computing and robust software development.
• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).
• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO). Experience with Gurobi is a plus.
• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Ability to develop, test, and deploy software effectively on Linux-based systems.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

PREFERRED QUALIFICATIONS

• • Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.
  • Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches. Experience with D-Wave’s quantum annealing platform is a plus.
  • Experience with performance-critical programming languages such as C++ or Java.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.
  • Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.
  • Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).
  • Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.
  • Willingness to travel up to approximately 10%.

ABOUT THE TEAM

Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization, we are seeking Modeling, Simulation and Analysis (MSA) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Modeling, Simulation and Analysis (MSA) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.

Join our Flight Engineering team advancing the Air Dominance and Strike division's portfolio, where we push the boundaries of aerospace technology. We are seeking exceptional MSA Engineers to shape the next generation of advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate cutting-edge MSA system architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.

ABOUT THE JOB

We are looking for a Modeling, Simulation and Analysis Engineer to join our team.  As part of the team you will have the opportunity to develop, implement and maintain a sufficient fidelity virtual representation of the myriad of different vehicles that Anduril works on.  In this role you will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs on going at Anduril.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products:
• Simulation solutions for Guidance, Navigation and Control algorithm development
• Software-In-The-Loop (SITL) solutions
• Hardware-In-The-Loop (HITL) solutions
• Pilot-In-The-Loop (PITL) solutions
• Customer product training solutions
• Monte-Carlo simulation analysis
• Simulation and Test data analysis tools and processes
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions
• Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles
• Experience in flight dynamics/platform physics and control
• Proficiency with C/C++
• Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)
• Flight test data processing/sim correlation experience
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Experience with model development to support Guidance, Navigation and Control algorithm development
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Advanced proficiency with C/C++
• Flight test support experience
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
• Experience with developing emulated/simulation interfaces for on-board avionics

ABOUT THE TEAM

Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization, we are seeking Modeling, Simulation and Analysis (MSA) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Modeling, Simulation and Analysis (MSA) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.

ABOUT THE JOB

We are looking for a Modeling, Simulation and Analysis Engineer to join our team. As part of the team you will have the opportunity to develop, implement and maintain a sufficient fidelity virtual representations of the myriad of different vehicles Anduril works on. In this role you will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs on going at Anduril.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products:
• Simulation solutions for Guidance, Navigation and Control algorithm development
• Software-In-The-Loop (SITL) solutions
• Hardware-In-The-Loop (HITL) solutions
• Pilot-In-The-Loop (PITL) solutions
• Customer product training solutions
• Monte-Carlo simulation analysis
• Simulation and Test data analysis tools and processes
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions
• Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles
• Experience in flight dynamics/platform physics and control
• Proficiency with C/C++
• Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)
• Flight test data processing/sim correlation experience
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Experience with model development to support Guidance, Navigation and Control algorithm development
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Advanced proficiency with C/C++
• Flight test support experience
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
• Experience with developing emulated/simulation interfaces for on-board avionics

ABOUT THE TEAM

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical.

ABOUT THE JOB

We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation.

This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a "Whatever It Takes" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

WHAT YOU'LL DO

• Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.
• Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.
• Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments
• Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.
• Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.
• Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

REQUIRED QUALIFICATIONS

• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.
• Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques.
• Fluency in standard domain libraries (numpy, opencv, pytorch, etc).
• Proven understanding of data structures, algorithms, concurrency, and code optimization.
• 4+ years of professional industry experience working with C++ or Rust programming languages.
• Experience deploying software to end customers, internal or external.
• Must be willing to travel 25%.
• Eligible to obtain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.
• Experience with perception systems for aerial robotics or other highly dynamic platforms.
• Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, stereo cameras, or TOF cameras.
• Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.
• Experience with GPU / CUDA programming for accelerated computer vision processing.

ABOUT THE TEAM

Anduril’s Flight Engineering department is part of the Air Dominance and Strike organization, we are seeking Modeling, Simulation and Analysis (MSA) Engineers to join our team. The Anduril Flight Engineering team is integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, the role of a Modeling, Simulation and Analysis (MSA) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems. Anduril fosters a dynamic learning culture, characterized by accelerated knowledge acquisition through modeling, simulation, analysis, and rigorous and frequent ground and flight test experimentation. At Anduril, you will be involved in flight testing the systems you develop.

ABOUT THE JOB

We are looking for a Modeling, Simulation and Analysis Engineer to join our team. As part of the team you will have the opportunity to develop, implement and maintain a sufficient fidelity virtual representations of the myriad of different vehicles Anduril works on. In this role you will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs on going at Anduril.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products:
• Simulation solutions for Guidance, Navigation and Control algorithm development
• Software-In-The-Loop (SITL) solutions
• Hardware-In-The-Loop (HITL) solutions
• Pilot-In-The-Loop (PITL) solutions
• Customer product training solutions
• Monte-Carlo simulation analysis
• Simulation and Test data analysis tools and processes
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions
• Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles
• Experience in flight dynamics/platform physics and control
• Proficiency with C/C++
• Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)
• Flight test data processing/sim correlation experience
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Experience with model development to support Guidance, Navigation and Control algorithm development
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• 7 or more years of related experience
• Advanced proficiency with C/C++
• Flight test support experience
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
• Experience with developing emulated/simulation interfaces for on-board avionics

Location

Palo Alto, CA

Job Description

Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. 

Additionally, our Data Engineers perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business values and customer success.

Responsibilities:

• Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
• Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
• Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
• Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
• Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
• You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Communicate project status and results to various levels of leadership.

Qualifications:

• At minimum Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 3 years of professional experience, or a Master’s degree with strong academic project experience and one year of work experience.  
• Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
• Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
• Experience building and maintaining ETL data pipelines
• Experience with software development life cycle including testing, documenting, delivery and support
• Working knowledge of AWS/cloud technologies
• Experience using query optimization as well as data modeling techniques.
• Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)

Personal Qualities:

• Bias for action: Rhombus seeks ‘doers’ who will get things done with accuracy, speed and at scale.
• Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.

Salary Range

• The estimated base salary range for this position is $110,000 to $180,000/year

Benefits 

• Full medical, dental, vision coverage for employee and dependents 
• 401k matching program 
• PTO and Holidays 
• Bonus and other incentive programs
• Access to mental health program
• Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus 

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. 

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. 

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for a Senior Software Engineer to focus on our Treasury Infrastructure. Coders at HRT work on small, highly productive, and efficient teams that design, improve, and maintain the technology that powers worldwide trading — at HRT, the code you write is our business. You’ll have an opportunity to work closely with Treasury Quantitative Researchers and our Funding Team to design and develop HRT's Treasury Optimization and Research Platform.

We are looking for highly skilled programmers who love to code and solve complex problems, appreciate a culture of collaboration, and thrive in a performance-driven environment. You can always expect to be challenged by the ever-changing financial markets, and find yourself working on critical software in an extremely fast-paced, real-time environment.

Responsibilities

• Contribute to the engineering design and development of HRT’s Treasury Optimization Platform.
• Collaborate with Treasury Researchers on HRT’s Treasury Research Infrastructure.
• Collaborate with Quantitative Developers as well as our Funding and Finance teams on managing cash and collateral requirements.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Working experience in Python and good CS fundamentals.
• Proficiency with numerical computing libraries (Numpy, PyTorch, TensorFlow) is a plus.
• Knowledge of global portfolio financing and funding is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication skills and ability to collaborate with engineers, researchers, and non-technical teams.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Insights & Integrations Consultancy Data Scientist who will be responsible for transforming complex data into clear, business-impactful insights that drive portfolio expansion, retention, and real-world outcomes for fleet operators around the world. This role sits at the intersection of data science, customer consultancy, and sustainability — where your ability to communicate the why behind the data matters as much as the analysis itself. If you love turning data into decisions and have a passion for sustainability and clean transportation — we would love to hear from you!

What you'll do:

As an Insights & Integrations Consultancy Data Scientist, your key area of responsibility will be partnering with strategic accounts to drive ecosystem expansion and retention — not just through technical analysis, but by translating that analysis into business impact that resonates with fleet managers, executives, and non-technical stakeholders. You will develop and maintain deep expertise across the Geotab platform, engaging directly with partners and end-users to optimize their use of Geotab's technology, presenting data-driven insights in ways that clearly demonstrate ROI, cost savings, and efficiency gains. Day-to-day, you will design and deliver Big Data dashboards and analytics tools, maintain Airflow pipelines for continual data analysis using SQL and Python, develop proof of concepts, and solve complex business problems through customer-tailored algorithms and predictive models. You will also represent Geotab as a thought leader at industry events and trade shows — particularly in the areas of fleet electrification and sustainability — and travel quarterly to Canada for team meetings, with additional on-sites at key strategic accounts.

You will work closely with Account and Engagement Managers within Geotab's Sales Channels, the Signature Accounts Team, Product Management, and Solutions Engineering — relationships that are essential to identifying growth opportunities and translating customer feedback into product improvements. To thrive in this role, you will bring an exceptional ability to communicate complex technical concepts to non-technical audiences, a consultative mindset focused on business outcomes over technical jargon, and a genuine passion for sustainability and the electrification of commercial fleets.

How you'll make an impact:

• Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.

• Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their specific needs.

• Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product Management teams.

• Create and optimize data-driven dashboards for cross-functional use, facilitating informed decision-making and efficient collaboration with a focus on expansion and retention of existing customers.

• Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how.

• Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention.

• Support Geotab's partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.

• May be involved in developing and implementing proof of concepts. This involves creating a small-scale version of the solution to demonstrate its feasibility and effectiveness in the customer's environment.

• Staying updated with industry trends, competitor products, and market demands is crucial. Need to understand the broader landscape in which Geotab operates to position their solutions effectively.

• Keep accurate records of customer interactions, solution designs, and outcomes is important. This helps in creating case studies, improving processes, and maintaining a repository of successful solutions for reference.

• Deliver compelling technical presentations and demonstrations to customers. They showcase the features and benefits of the product or service, highlighting how it solves the customer's problems.

• Work closely with the sales team and fellow engineers throughout the sales cycle as needed. Provide technical support, answer technical questions, and address concerns that potential customers may have in regards to their area of subject matter expertise.

• Based on customer requirements, design customized solutions or configurations using the company's products. They create proposals and presentations that outline how the solution meets the customer's needs, often through demonstrations or prototypes.

• Even before a sale is made, may assist with technical inquiries from potential customers. This could involve explaining technical details, providing documentation, or guiding customers on how to integrate the solution into their existing systems when expertise beyond the general area is required.

• Solve complex business problems by providing analytics or analytics-based consulting, including customer-tailored algorithms and predictive models, under guidance or mentorship.

• Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.

• Design, maintain and deliver Big Data dashboards and tools; document stakeholder requirements, resolve issues, and fulfill change requests.

What you'll bring to this role:

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field; equivalent combination of education and/or work experience may be substituted.

• 3–5 years of experience in a relevant customer-facing technical role, including Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, or Technical Account Management.

• 1–3 years of hands-on experience with SQL (Google BigQuery preferred) and data science tools (Python, pandas, numpy preferred).

• Experience working with large data environments and demonstrated ability to extract value from very large datasets, including data modeling and data warehouse concepts.

• Data visualization skills, particularly in dashboarding platforms such as Power BI or Tableau.

• Technical knowledge of telematics, IoT, APIs, and related technologies; working knowledge of hardware integrations is a bonus.

• Strong communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences, and to collaborate effectively across cross-functional teams.

• Effective problem-solving and critical thinking abilities, with the capacity to assess customer challenges and propose viable solutions.

• A customer-focused mindset with strong time management and organizational skills; able to manage multiple projects and priorities simultaneously.

• Desire to stay current with emerging technology and the flexibility to adapt to growing market demands.

• Ability to travel up to 20% of the time internationally; valid passport required.

Why job seekers choose Geotab:

Who You Are

As a Data Scientist on this team, you are the "bridge" between raw infrastructure telemetry and actionable operational intelligence. You don’t just see numbers; you possess a deep mechanical and electrical empathy that allows you to read a system’s data as a doctor reads a patient's chart. You are highly inquisitive, approaching complex anomalies without bias to uncover true root causes.

This is not a "hide behind the keyboard" role. You thrive in a hands-off environment, treating your space with a sense of proactive ownership and treating your peers as fellow experts. You are a truth-teller who uses thorough, compassionate communication to persuade others and drive impact in the high-stakes world of data center uptime. We expect our Data Scientists to arrive ready to own their space and contribute to the team’s collective success immediately.

**We are seeking a U.S.-based team member (Pacific Time Zone preferred) with flexibility to work hours that overlap with APAC time zones as needed. 

Responsibilities

You will utilize our existing data ingestion and delivery platforms to "teach" our models to understand the physical world, filling a critical expertise gap in the data center industry.

• Multidisciplinary Diagnostic Analysis: Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for our LLM-driven monitoring tool.
• Refining the Logic Engine: Act as a primary user of our platforms, identifying gaps in our current mechanisms and collaborating with Engineering to influence future features and data quality.
• Operational Insight Generation: Translate raw telemetry into the "SME-level" logic and directions used by our LLM tool to guide data center operators in real-time.
• SME Development: Cultivate deep domain expertise in all facets of data center infrastructure. You will be expected to master the nuances of both mechanical and electrical dependencies to ensure our product reflects operational reality.
• Customer Guidance: Move from shadowing peers to directly supporting customers, using our platform to provide clear, data-backed direction on complex problems.
• Model Validation: Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable.
• Adaptability: Remain agile and proactive. As a member of a fast-moving team, you will encounter challenges and scopes not explicitly defined here; we expect you to lean in and solve them.

Key Qualifications

• Experience: 2–3 years of professional relevant experience
• Educational Background: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Control Theory, or a related field that provides a foundation in physical systems and thermodynamics.
• Analytical Grit: A deep, innate interest in using data to diagnose how and why systems fail. You are a "tinkerer" who prefers solving real-world problems over theoretical research.
• Technical Proficiency: Strong Python skills and experience with data manipulation libraries (Pandas/NumPy) to perform custom analysis outside of standard tooling.
• Communication Mastery: Ability to explain complex diagnostic findings clearly and persuasively to both technical peers and non-domain stakeholders.
• Unbiased Problem-Solving: A proven ability to look at a problem without preconceived notions and figure out solutions either independently or via team collaboration.
• Alignment with Values: Demonstrated commitment to Transparency, Collaboration, and Ownership—especially in environments where reliability and learning from failure are paramount.

Preferred Skills & Experience

• Infrastructure Exposure: Experience with critical infrastructure components (HVAC, power distribution, or industrial automation).
• Industrial IoT: Experience with time-series data from industrial sensors (SCADA, BMS, Smart Meters).
• AI/LLM Curiosity: Exposure to or a strong interest in how LLMs can be used for root-cause analysis and automated reporting.

Onboarding

In your first 30 days…

• Familiarize yourself with the company handbook and team roadmap.
• Review existing system ontologies and sensor data structures across both mechanical and electrical domains.
• Shadow senior team members during customer diagnostic reviews to understand the "voice" of the SME.

In your first 60 days…

• Build full proficiency in our internal data tools and analysis workflows.
• Identify failure signatures in customer data with peer guidance and begin automating detection logic.
• Identify at least one gap in our current tooling and propose a logic-based solution to Engineering.

In your first 90 days…

• Provide direct guidance to customers on anomalies with peer support, moving toward full self-sufficiency.
• Contribute to the refinement of the LLM "instruction set" for cross-disciplinary diagnostics.
• Present a post-incident analysis correlating telemetry to a real-world root cause to the broader product team.

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

1. Meeting with People Operations team member (30 minutes)
2. Meeting with Hiring Manager (60 minutes)
3. Technical Interview with Data Science team member (60 minutes)
4. Meeting with Program Manager (60 minutes)
5. Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

US Residents:

• Tier 1 (Largest highest-cost metros): $119,200 - $163,900
• Tier 2 (Other major metros): $113,240 - $155,705
• Tier 3 (Mid-sized metro areas): $107,280 - $147,510
• Tier 4 (All other locations): $101,320 - $139,315

In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.

About the Role:

Stylus Medicine is seeking an intellectually curious and creative Director, who will serve as a key scientific leader on our Platform team, owning the computational strategy that drives large serine recombinase (LSR) engineering and clinical translation. This role sits at the intersection of protein engineering, multi-omics analysis, and AI/ML-driven design and will lead a high-impact team spanning NGS and computational biology while driving the analytical infrastructure and predictive capabilities needed to advance our proprietary LSR platform from discovery through translation.

Key Responsibilities & Accountabilities:

• Lead and develop a team of NGS and computational biology scientists, setting technical direction, mentoring team members, and fostering a collaborative, high-performance culture
• Lead computational efforts to design and optimize LSRs and related genome engineering proteins for genetic medicine applications, integrating sequence-function, structure-function, and protein-DNA interaction datasets to guide engineering campaigns
• Lead analysis of NGS data from LSR experiments — including amplicon sequencing, WGS, hybrid capture, and long-read sequencing — to quantify on-target efficiency and genome-wide specificity
• Build, apply, and critically evaluate predictive and generative models for protein variant and library design — including rigorous benchmarking of AI/ML approaches such as protein language models, structure prediction tools, and generative design frameworks
• Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
• Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
• Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
• Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
• Contribute to patent filings, regulatory submissions, and publications

Qualifications & Skills:

• PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or a related quantitative discipline, with 10+ years or Master’s with 14+ years of industry experience
• Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
• Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
• Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
• Experience with cloud computing platforms and workflow management systems
• Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range; $245,000 - $265,000

THE COMPANY:

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

ROLE AND RESPONSIBILITIES:

The Mechatronics Engineer is a hands-on role that will be responsible for designing new products that are innovative, cost efficient, reliable, and ship on schedule. This role will drive the validation of concepts via early analysis, prototyping and testing, and work with cross-functional teams to ensure that product requirements are managed to achieve optimal experiences for our customers. In addition, the Mechatronics Engineer will work closely with internal and external partners to technically define designs and ensure that all product and project requirements are met. You will troubleshoot and make improvements to existing products and new products as well as test instrumentation. You will  work closely with other members of the engineering staff to create optimal solutions to a myriad of product related topics such as but not limited to mechanical design, thermal, and data analytics. You will be comfortable sketching and prototyping new ideas and be familiar with engineering best practices, concepts and procedures. We are looking for someone who is flexible and can respond quickly, energetically, and enthusiastically to changes. The person in this role should be a strong communicator who is able to lead effectively and work effectively with peers and management alike in a high-paced global environment. 

• Experienced with embedded control systems and adept at deriving meaningful insights through data analytics to drive improvements in existing algorithms.
• Leverage existing tools, systems, and/or processes for data collection and analysis.
• Takes initiative and ownership of high level work. Negotiates and drives alignment with product architects, managers, and other key stakeholders across multiple disciplines.
• Design, implement, and drive to completion complex system DoEs spanning several engineering disciplines including EE, ME, FW, and SW. 

PERSONAL AND PROFESSIONAL QUALIFICATIONS: 

• Min 2 years working experience in Python and C++ software development, including system design, data structures & algorithms.
• Experienced with Python and Jupyter Notebooks; specifically, numpy, pandas, scipy, and sklearn.
• Prototyping background: Have a maker mentality that allows you to prototype quickly while also producing robust systems that sustain through heavy use and have well-documented construction and troubleshooting guidelines
• 3-5 years of relevant engineering experience in one or more of the following areas: product design, new product release, test engineering.
• Conduct rapid feasibility studies to design for mechanical, fluidic, and thermal robustness.
• Experienced in developing and testing both software applications and mechanical systems, ensuring they work together.
• Oversee internal and external prototyping.
• Work directly with our CM or prototyping partners in support of system assembly build activities.
• Expertise in one (or more of) the areas of: Statistical Analysis, Design of Experiments, Thermal Design, etc.
• Expertise in 3D MCAD, Solidworks preferred.

EDUCATION 

The ideal candidate will possess a Bachelor's degree or higher in Mechatronics, Mechanical Engineering, or a related field

JUUL LABS PERKS & BENEFITS:

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
• 401(k) plan with company matching
• Plus biannual discretionary performance bonuses

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US.

Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with DevOps, databases, big data, or frontend frameworks;
• Experience with Docker, Kubernetes, and Linux environments;
• Experience working with financial data;
• Foundational knowledge of quantitative trading concepts and equity/index options;
• Exposure to web/API frameworks such as FastAPI and React;
• Experience with automated testing and CI/CD pipelines;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
• Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.

#LI-DNI

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Network Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Seeking an experienced Network Engineer that will be responsible for managing and maintaining the organization's complex and secure network infrastructure. Must have at least 5 years of experience with configuring Cisco IOS and/or Cisco NX-OS in a datacenter environment including experience configuring VLANs, Routing, and security settings.  Experience in top of rack configurations and storage area network configuration is preferred but not required. Has experience with Cisco implementations who can optimize network processing and operations. Ability to work independently as well as be a part of an agile team to transform the client's hybrid cloud platform.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years of experience with:
• Configuring Cisco IOS and/or Cisco NX-OS in a data center environment
• Experience with VLANs, routing and security settings
• Cisco implementations, network processing and operations

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements, create and optimize system models, and develop robust data integration solutions. Through engagement with cross-functional teams, you will refine, test, and develop data solutions to meet complex business needs. You will have an impact on our data systems, driving innovation and efficiency in our data integration processes and our reporting capabilities. Your work will enhance our ability to leverage data for strategic decision-making and operational excellence. 

Responsibilities:

• Extend database models, front-end frameworks, and REST APIs for data system integration and application performance.
• Develop and maintain robust query pipelines for accurate and timely data processing from various sources.
• Support, enhance, and troubleshoot existing data integration systems and reporting infrastructure.
• Write clean, efficient, and well-documented code.
• Collaborate with cross-functional teams to design, develop, and deploy new features.
• Conduct root cause analysis, code reviews, and unit testing in partnership with experienced team members.
• Assist fellow engineers and managers with data queries, development of data processing algorithms, feature enhancements, bug issues, and application navigation.
• Provide comprehensive support and timely resolution for internal customer issues.
• Demonstrate strong problem-solving and decision-making skills with sound judgment.  

Experience/Qualifications:

• Bachelor’s degree in computer science, Math, Physics, Engineering, or related field.
• 3+ years of professional experience in Software Engineering, with a focus on developing and maintaining scalable applications.
• Knowledge of Python and SQL programming languages and integrations.
• Proficiency in data modeling and database design principles.
• Experience designing data-intensive applications using Python frameworks such as Flask, Django, FastAPI, etc.
• Experience with data visualization tools such as: Tableau, PowerBI, Python Dash, or JMP.
• Competency in web application programming and markup languages including JavaScript, HTML, CSS, and related frameworks.
• Practical experience using Git for version control and collaborative software development.
• Proficiency with software development best practices including design, documenting, testing, and debugging.
• Experience with ETL and data ingestion processes and pipelines. 

Preferred Skills & Experience: 

• Familiarity with semiconductor testing and design principles or prior experience in designing data-driven applications in semiconductor industries.
• Experience with data manipulation and scientific computing Python tools and packages, including but not limited to Pandas, NumPy, SciPy, Matplotlib, Jupyter, etc.
• Experience in designing CI/CD pipelines and orchestrating automated deployments. 

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

You will join a team of highly autonomous, senior ICs developing both software capabilities for the firm’s investing and operating functions, and external-facing products for the firm’s partners, portfolio, and investors. This role specifically involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications. You will be responsible for the entire model lifecycle, from feature engineering and training to large-scale, low-latency serving and robust MLOps infrastructure.

The Applied Software Group operates in the mode of an internal startup. We own an exceptionally tight feedback loop and take on requests from all corners of the firm. This is a high-visibility role that requires a clear architectural vision, strong software engineering fundamentals, exacting communication skills, and the ability to engage and educate our firm on the technology we are developing and shipping.

This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Architect, build, and maintain scalable and reliable ML production pipelines (data, training, and inference)
• Collaborate with the Applied Software Group (ASG) team to integrate ML models into user-facing products serving the investing partnership and our operating teams
• Set and evolve MLOps standards for the team, including producibility, automated testing, CI/CD, observability, and model governance across the firm.
• Research and lead the implementation of model serving strategies (e.g., real-time APIs, batch processing) to meet strict latency and throughput requirements
• Drive the technical roadmap for core ML infrastructure, influencing platform choices and building cloud-native systems primarily on GCP.
• Operate with high autonomy, owning outcomes end-to-end, proactively identifying gaps, and raising the technical bar for the team.
• Set a high standard for code quality and system design, producing clear, principled, and extensible solutions that scale with the firm.
• Bring positive energy in every interaction with the team and foster inclusive collaboration
• Learn the inner workings of VC and work closely with the investing partnership

Minimum Qualifications

• 2+ years of professional experience as a Machine Learning Engineer or similar role.
• Strong mathematical intuition and problem-solving skills
• Expertise in Python and its statistical modeling ecosystem (e.g. NumPy, scikit-learn, etc.)
• Solid experience with major ML frameworks like PyTorch, TensorFlow, or JAX
• Proven experience deploying and managing ML models in a production environment using tools like Kubeflow, MLflow, Airflow, or TFX
• Strong understanding of containerization technologies (e.g., Docker, Kubernetes/GKE) as applied to ML serving
• Familiarity with cloud computing environments (preferably GCP), including data storage and compute services
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $341,000 - $422,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

The Community You Will Join:

At Airbnb, we believe technology has the power to bring people together — and our engineers are the ones building it. Our Engineering org is a diverse, fast-moving group of teams working across Payments, Trust, Marketing, Relevance & Personalization, and more. Together, we're tackling some of the hardest problems in tech: search relevance at global scale, fraud prevention, seamless payments, and fueling growth — all while delivering a product experience that feels effortless and beautiful. We're also at the forefront of integrating AI and machine learning into our products — from personalized search experiences to intelligent trust and safety systems — and we're looking for curious engineers who are excited to grow alongside this technology.

If you're energized by engineering that creates real-world human connection — and by the idea that your code will be experienced by millions of people around the world — you'll feel right at home here.

The Difference You Will Make:

As a Software Engineer (New Grad) at Airbnb, you’ll play a vital role in building, supporting, and refining the products and systems that make Airbnb’s mission possible. Your work will directly contribute to high-quality, reliable experiences for our global community—whether you’re fixing bugs, launching well-defined features, or enhancing existing components. You'll also have the opportunity to contribute to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests. By clearly communicating challenges and collaborating with teammates across functions, you’ll help drive projects forward with transparency and trust.

You’ll foster a sense of belonging by actively seeking feedback, sharing your own learnings, and supporting the onboarding of new team members. You’ll help uphold Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving your technical skills. Your curiosity, empathy, and commitment to candid communication will empower you to make a meaningful impact—on projects, teammates, and Airbnb’s inclusive culture.

A Typical Day: 

• Attend team syncs to discuss priorities, share progress, and surface any blockers with transparency.
• Dive into coding—fixing bugs, developing features, or refining APIs and components—while applying best practices for code quality, error handling, and testability. Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate your workflow and improve code quality.
• Participate in design or code reviews, ask clarifying questions, and apply feedback to improve your work. Work closely with cross-functional partners like product managers and designers to ensure your tasks align clearly with broader goals.
• Dedicate time to expanding your technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions. This includes staying current on AI/ML developments relevant to your team's domain — whether that's recommendation systems, natural language understanding, or AI safety practices. Seek guidance from managers or tech leads when tackling unfamiliar problems.
• Contribute to team activities, such as onboarding new hires (e.g., being an onboarding buddy), sharing observations from the hiring process, or joining in cultural events focused on diversity, inclusion, and innovation.
• Share updates on your progress and next steps, highlighting challenges or learnings. 

Your Expertise:

This role is designed for recent graduates (Bachelor's or Master's) with less than 1 year of full-time professional experience who are ready to grow fast and make an impact.

• Strong foundation in Computer Science fundamentals — data structures, algorithms, design patterns, and systems thinking
• Proficiency in one or more of: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift (iOS), or Kotlin (Android)
• Foundational awareness of AI/ML concepts — such as supervised learning, model evaluation, or working with APIs backed by large language models (LLMs) — gained through coursework, personal projects, or internships
• Familiarity with Python and common AI/ML libraries (e.g., NumPy, scikit-learn, or PyTorch) is a plus, as is experience integrating cloud-based AI services or LLM APIs
• An understanding of responsible AI principles — including fairness, privacy, and safety — and a curiosity about how these apply to real-world product development
• Bonus points for leadership experience, community involvement, or teaching/mentoring — we love engineers who invest in others

Your Location:

Preference for candidates based in San Francisco, California or Seattle, Washington with the ability to commute to the office three days per week. Additional in-person attendance for team meetings or offsites may be required as needed. Domestic Relocation support will be provided for candidates open to relocating.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Cavnue, a Consor company, is redefining what's possible for modern transportation infrastructure. As the digital infrastructure platform within Consor Engineers, a leading North American engineering and advisory firm, Cavnue combines advanced roadway technology with deep transportation design and delivery expertise to modernize how roads are operated and managed.

We believe the future of roadways is connected, intelligent, and designed to actively improve safety, efficiency, and accessibility for all users. While vehicle technologies such as advanced driver assistance systems and automated driving continue to evolve rapidly, roadway infrastructure must evolve alongside them. Cavnue is closing that gap by developing and deploying smart road technologies that deliver a real-time digital twin of the roadway environment, leveraging AI-enabled analytics, sensors, cameras, and integrated digital infrastructure to provide actionable operational insights.

Together with Consor, we are accelerating the deployment of these solutions at scale, helping public and private clients modernize infrastructure and prepare for the next generation of mobility. With active projects across the United States, our work is setting a new standard for roadway performance today while laying the foundation for a safer, more efficient, and more connected transportation future.

Join us as we shape the future of infrastructure where digital innovation meets engineering excellence to deliver measurable real-world impact.

Role Overview

We are looking for a Senior Software Engineer who is equally comfortable writing high-performance C++ as they are shipping Python services, and who can reason clearly about algorithms, data structures, and system behavior under load. This is a broad, hands-on role working across the full depth of our platform, including building data replay infrastructure for system validation, aggregating traffic data over spatial and temporal windows to generate real-time insights and incident records, improving object tracking algorithms, and ensuring video and sensor data flows reliably from edge devices to the cloud, routing data to AI models for verification and classification.

You will focus on making these systems observable, performant, and production-ready. Our architecture centers on strong API interfaces, supported by a robust stack including PostgreSQL for persistence and Terraform, Helm, and Argo for infrastructure and deployment. You will collaborate across engineering teams to integrate new product features into efficient, low-latency services, while leveraging Datadog to ensure deep visibility into system health.

This is a fully remote, hands-on individual contributor role with meaningful ownership across core systems. We are looking for a generalist who can operate autonomously end to end, from design through deployment and ongoing operation, while using AI-assisted tools thoughtfully to move faster without compromising quality. You think beyond the code, connect your work to the broader product and user experience, and take initiative to turn ideas into action in ambiguous environments.

Core Responsibilities:  

• Build and maintain high-throughput, low-latency Python and C++ services, owning the full lifecycle from development to monitoring and incident response.
• Design and optimize data structures, Protobuf serialization, and Redis Streams for real-time data processing workloads.
• Architect and manage data pipelines from raw sensor ingestion to transformation, storage, and delivery.
• Integrate low level, tracking, inference and sensor fusion algorithms into production services.
• Develop REST APIs and internal/external service integrations.
• Implement observability, CI/CD pipelines, and infrastructure as code (Terraform) for reliable, repeatable deployments.
• Operate containerized services on Kubernetes (using Argo and Helm) in GCP; document systems, runbooks, and integrations.
• Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

Nice to Have Experience: 

• Domain experience in transportation, robotics, autonomous vehicles, or sensor-heavy systems.
• Familiarity with classical estimation and filtering techniques, including Kalman filters, Bayesian methods, and sensor fusion, sufficient to read, integrate, and debug implementations.
• Experience with GCP data products (BigQuery, Cloud Storage, Pub/Sub) and AI/ML workflows, feature stores, or model serving infrastructure.
• Familiarity with messaging and observability tools such as nanomsg and OpenTelemetry.
• Experience with high-throughput data processing techniques and integrated build systems like Buck2.
• Prior experience in early-stage startup environments.

Requirements:

• 5+ years of professional software engineering experience with a strong backend and systems focus.
• Proficiency in Python and C++ in production environments, with the ability to choose the right tool for the job and ship quality code.
• Strong fundamentals in algorithms, data structures, and systems design; able to reason about computational complexity and system behavior under constraints.
• Experience building and operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink).
• Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code/CI/CD pipelines (Terraform, GitHub Actions, GitLab CI, etc.).
• Comfortable working in Linux and with agentic coding tools (e.g., Claude Code, Cursor, or similar AI-assisted environments).
• You are a generalist who can ramp up quickly on unfamiliar domains, codebases, and technologies, keeping the product and users in mind.
• Self-starter who spots gaps, proposes solutions, makes decisions with imperfect information, and drives work forward independently.
• Strong communication skills to explain architectural decisions clearly to both technical and non-technical stakeholders.
• BS in Computer Science, Engineering, or equivalent practical experience.

Salary Range: The compensation range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Actual pay may vary based on these factors and geography.

Remote - $150,000 – $195,000

Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program.

Benefits:

Eligible employees may participate in a benefits program that may include:

• Medical, dental, and vision benefits
• Life insurance and disability insurance
• 401(k) with company contribution
• Paid Parental leave
• Fertility and infertility benefits
• Industry-competitive PTO
• Learning and development opportunities

Benefits are subject to eligibility requirements and the terms of the applicable benefit plans and programs.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

Role Overview:

Cresta is expanding its Customer Success organization with a dedicated analytics function focused on customer value realization. As an AI Value Partner, Customer Analytics, you’ll be the technical engine behind measuring and storytelling customer impact—designing experiments, analyzing conversational and operational data, and building dashboards that quantify Cresta’s value.

You’ll sit within the Customer Success organization and partner closely with Customer Success Managers, Sales, Product, and Engineering. Your work will power ROI discussions, pilots, QBRs and ongoing strategic customer engagements.

This role is ideal for someone early in their data science career who enjoys hands-on analytics, problem-solving, and turning ambiguous business questions into clear, actionable insights.

Key Responsibilities:

Customer Analytics & Insight Generation

• Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets
• Translate ambiguous business questions into structured analytical problems
• Analyze how workflow, behavior, and product usage changes translate into business value

Experimentation & Pilot Measurement

• Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact
• Establish baselines, metrics, and measurement plans for pilots
• Ensure results are statistically rigorous and easy for non-technical stakeholders to understand
• Build reusable templates and frameworks for consistent experimentation
• Work directly with customer to guide them towards our ideal experiment setup

Dashboards, Reporting & Automation

• Build and maintain dashboards tracking customer ROI
• Develop Python and SQL tools to improve repeatability, accuracy, and scalability
• Create standardized reporting packages for pilots, QBRs, and renewals

Modeling & Advanced Analytics

• Develop custom statistical or ML models (e.g., segmentation, predictive scoring, lightweight NLP)
• Maintain reusable modeling pipelines for value insights and roadmap analysis
• Partner with Engineering when guidance or productionization support is needed

Cross-Functional Collaboration

• Translate analyses into clear business and financial narratives
• Support CSMs with data and insights for strategic QBRs
• Partner with Product and Engineering on metrics, data availability, and analytics enhancements

Required Qualifications:

• 1–3 years of experience in a data-focused role or relevant academic experience
• Strong proficiency in SQL and experience working with large datasets
• Proficiency in Python (Pandas, NumPy, scikit-learn)
• Solid understanding of statistics, hypothesis testing, and experimental design
• Experience building dashboards in tools such as Hex, Looker, Tableau, or similar
• Strong communication skills with non-technical stakeholders
• Comfort working in a fast-paced, cross-functional environment

Preferred Qualifications:

• Experience with conversational data (call transcripts, chats) or text analytics
• Familiarity with causal inference, uplift modeling, or A/B testing frameworks
• Exposure to customer-facing analytics or support roles
• Experience with cloud data stacks (Snowflake, Redshift, etc.)
• Basic NLP or classification experience related to agent behavior or customer intent

Success Criteria:

Within 6–9 months, a successful hire will have:

• Built dashboards and reporting foundations used across Customer Success
• Implemented standardized pilot measurement and experimentation approaches
• Supported strategic customer analyses that improved renewals or expansion confidence
• Created scripts and automations that significantly reduce manual analysis
• Earned trust as the go-to analytics partner for Customer Success

Perks & Benefits: 

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family
• Monthly Gym & Phone allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunches and dinners included for in-office employees via Grubhub

Compensation At Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

Compensation for this position includes a Base salary + Bonus + Equity

Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

The Opportunity:

We are seeking a Principal Machine Learning Scientist to lead the development of advanced machine learning approaches that accelerate small-molecule drug discovery. This role sits at the intersection of data science, chemistry, and biology, transforming complex scientific datasets into predictive models that guide target discovery, compound design, and translational hypotheses.

Working closely with experimental scientists, the Principal ML Scientist will develop cutting-edge modeling approaches that integrate chemical, biological, and phenotypic data. The successful candidate will play a key role in advancing a data-driven discovery strategy by designing predictive models, deploying innovative algorithms, and translating insights into actionable decisions that improve the speed and success of the discovery of medicines for patients with RAS-driven cancers.

Key responsibilities include:

Scientific Leadership:

• Define and lead machine learning strategies that accelerate early-stage drug discovery.

• Identify opportunities where AI and advanced analytics can meaningfully improve scientific decision-making.

• Drive the adoption of innovative modeling approaches within multidisciplinary discovery teams.

Model Development:

• Develop predictive models for:

  • Compound activity, selectivity, ADME/Tox, and developability properties.

  • Target engagement, mechanism-of-action, and phenotypic datasets.

Apply modern ML techniques such as:

• Graph neural networks.

• Deep learning for molecular representation.

• Generative chemistry models.

• Active learning frameworks for experimental design.

Cross-Functional Collaboration:

• Partner with medicinal chemists to guide compound design and optimization.

• Work with biologists to interpret complex experimental datasets and generate mechanistic hypotheses.

• Collaborate with data scientists and engineers and ML engineers to deploy models into scalable discovery workflows.

Data Integration:

• Integrate heterogeneous datasets including:

• Chemical structure and screening data.

• Imaging and phenotypic screening data.

• Structural biology and molecular simulation outputs.

Required Skills, Experience and Education:

• PhD in machine learning, computational chemistry, computational biology, computer science, or a related quantitative discipline.

• 8+ years experience applying machine learning or advanced analytics to scientific problems.

• Demonstrated experience working with chemical or biological datasets in drug discovery or related domains.

• Strong expertise in:

  • Python-based ML ecosystems (PyTorch, TensorFlow, scikit-learn).

  • Data analysis and scientific computing (NumPy, Pandas).

  • Deep learning and representation learning techniques.

• Strong understanding of early-stage drug discovery workflows.

• Ability to translate biological or chemical questions into computational frameworks and predictive models.

• Proven ability to communicate complex computational insights to.

• Passion for scientific innovation and a relentless commitment to improving patient outcomes.

Preferred Skills:

• Proven track record of applying advanced AI/ML approaches (deep learning, generative modeling, structure-based ML) to drug discovery or related life sciences domains.

• Experience with cheminformatics or bioinformatics toolkits is highly desirable.

• Familiarity with cloud computing and scalable ML workflows is a plus

• Ability to work at the interface of computational and experimental science. 

  #LI-Hybrid  #LI-LN1

The Opportunity:

We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.

The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.

The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.

Key responsibilities include:

Develop Predictive Models for Drug Discovery

• Design and implement machine learning models to predict compound activity, selectivity, and developability.

• Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.

• Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.

• Evaluate model performance and apply appropriate validation strategies.

• Work with data engineers and ML engineers to integrate models into discovery pipelines.

Analyze Complex Scientific Data

• Perform exploratory data analysis on chemical, biological, and phenotypic datasets.

• Integrate heterogeneous datasets including:

• Chemical structure and screening data.

• High-content imaging data.

• Structural biology and molecular simulation outputs.

• Identify patterns and relationships that inform scientific hypotheses.

Collaborate with Research Scientists

• Partner with medicinal chemists to support compound design and lead optimization.

• Work with biologists to interpret experimental results and identify new target opportunities.

• Translate scientific questions into computational modeling strategies.

Required Skills, Experience and Education:

• PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.

• 4–8 years experience applying machine learning or advanced analytics to scientific datasets.

• Python and scientific computing libraries (NumPy, Pandas, SciPy).

• Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).

• Model development, validation, and evaluation methods.

• Data visualization and exploratory analysis.

• Experience working with noisy and incomplete experimental datasets.

Preferred Skills:

• Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).

• Multi-omics data analysis.

• Cloud computing environments.

• MLOps or scalable model deployment. 

  #LI-Hybrid  #LI-LN1

What We’re Looking For

We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. 

You’ll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.

This role is a unique blend of applied machine learning, NLP, and product thinking. You’ll collaborate closely with cross-functional teams to:

• Design and develop models to extract entities, detect intents, and understand document structure
• Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
• Evaluate model performance where ground truth is partial, uncertain, or evolving
• Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions

We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you’re excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.

What You Will Do

• Play a key role in the success of our products by developing models for document understanding tasks.
• Perform error analysis, data cleaning, and other related tasks to improve models.
• Collaborate with your team by making recommendations for the development roadmap of a capability.
• Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
• Understand product use-cases and define key performance metrics for models according to business requirements.
• Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).

What You Need to Succeed

• 6+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
• Expertise with Python
• Experience with the latest developments in language models (transformers, LLMs, etc.)
• Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
• Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
• Industry experience shepherding ML/AI projects from ideation to delivery
• Demonstrated ability to influence company KPIs with AI
• Demonstrated ability to navigate ambiguity

What Helps You Stand Out

• Experience with document layout analysis (using vision or multi-modal approaches).
• Experience with Spark/PySpark
• Experience with Databricks
• Experience in the healthcare industry

After 3 Months, You Will…

• Have a strong grasp of technologies upon which our platform is built.
• Be fully integrated into ongoing model development efforts with your team.

After 1 Year, You Will…

• Be independent in reading literature and doing research to develop models for new and existing products.
• Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
• Be a subject matter expert on Datavant’s models and a source from which other teams can seek information and recommendations.

#LI-BC1

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are seeking a Quantitative Researcher to partner with Trading and Technology to strengthen, scale, and evolve the firm's trading capabilities within one of the quant research teams. As a Quantitative Researcher, you will be embedded on a research desk, working close to the tip of the spear in a dynamic environment. This includes partnership with other researchers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC! 

What You’ll Do

• Analyze market data to come up with economic and microstructure hypotheses 
• Build predictive and explanatory models to describe financial markets 
• Add revenue by applying thorough research processes to real life business problems 
• Conduct independent, high quality research in quantitative finance 
• Communicate complex ideas and research results effectively, both in writing and verbally 
• Drive innovation and results through analytical prowess and business acumen 

What We’re Looking For

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Applied Mathematics, Operations Research, Electrical Engineering) strongly preferred 
• Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team 
• Demonstrable track record of generating positive PnL 
• Advanced programming skills and experience with the software development lifecycle 
• Proven ability to blend academic rigor with practical application in fast-paced trading environments 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes 
• Python skills including Numpy and Pandas libraries 

Nice to Haves

• Experience with a wide variety of market and alternative data  
• Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques  
• Strong track record of publications in an industry setting