Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Team Description:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

This position will be responsible for performing non-research biological science work utilizing microbiological and molecular techniques, including, but not limited to, DNA extraction and real-time polymerase chain reaction (real-time PCR) to rapidly identify and characterize potential pathogenic bacterial and viral threat agents.

Responsibilities:

• Handling, receipt, and processing of operational, Quality Assurance (QA), and proficiency test (PT) samples potentially containing biological threat agents.
• Preparing reagents and samples.
• Familiarity with Good Laboratory Practice (GLP).
• Decontamination of workspaces, including Biological Safety Cabinets (BSCs), hoods/air boxes, equipment, and other items associated with processing and analysis activities.
• Maintaining chain-of-custody (CoC).
• Interpretation of results.
• Data entry utilizing computerized or computer-linked systems.
• Performing routine equipment calibration, cleaning, assembly, and maintenance.
• Collecting, processing, and analyzing internal laboratory swipes/swabs for Quality Assurance/Quality Control (QA/QC) and contamination monitoring.
• Proper disposal of biohazardous waste.
• Restocking and maintaining proper inventory of necessary supplies.
• Supporting BW Program logistics in conducting and documenting annual inventory of DHS-procured durable equipment and property.
• QA/QC and acceptance testing of reagents in accordance with applicable Standard Operating Procedures (SOPs) and the Laboratory Operations Quality Assurance Program Plan (QAPP).
• Adhering to QA/QC requirements in accordance with the Public Health Laboratory quality management systems and the QAPP.
• Maintaining documentation of records demonstrating compliance with applicable training/retraining, competencies, and document reviews.
• Analyzing routine external QA samples in accordance with the BW SOP’s and QA Program guidance.
• Proper archiving, storage, and shipping of samples.
• Follow and adhere to written procedures and accepted practices in accordance with federal, state, and local regulations, safety, security and dress code policies, procedures, and guidelines, including DHS Safeguarding Sensitive but Unclassified (For Official Use Only) Information (January 2005) when visiting or working at Government facilities.
• Preparing written and oral technical reports, answering questions, and making recommendations to the Lead Biological Scientist for inclusion in comprehensive reports.
• Accurately performing work with confidence.
• Demonstrate competency in various testing methodologies (e.g., multi-center studies), evaluate potential products and processes against unique environmental backgrounds, and meet established deadlines.
• Must be present for all hours of the workday and be available 24/7/365 to respond in case of emergency. Rotating weekends and some holidays are required.

QUALIFICATIONS: 

Master’s degree or Ph.D. from an accredited university in microbiology, molecular biology or related course work in biological sciences, and REQUIRES at least one (1) year of laboratory bench experience utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, and at least one (1) year of experience serving as a Senior Scientist or Team Leader of a laboratory team/project.  

OR

Bachelor’s degree from an accredited university requires four (4) years of laboratory bench experience to include 4 (4) years of utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, including at least one year of experience as a Team Leader/Senior Scientist. Laboratory training that is assigned or accompanies an associated course is not considered applicable training. 

This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application.

#LI-OnSite

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

• Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
• Opportunities to work on team-based and individual projects  
• Visibility to industry experts  

Job Qualifications:  

• Familiarity with R, SQL, Python, or other scripting languages
• Proficiency in Microsoft Excel
• Attention to detail with big-picture understanding
• Ability to work well in teams
• Highest ethical standards
• Must be enrolled in a PhD program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

• Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
• Opportunities to work on team-based and individual projects  
• Visibility to industry experts  

  Job Qualifications:  

• Familiarity with R, SQL, Python, or other scripting languages
• Proficiency in Microsoft Excel
• Attention to detail with big-picture understanding
• Ability to work well in teams
• Highest ethical standards
• Must be enrolled in a PhD program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Active Secret (or above) US security clearance
• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. 

Main responsibilities include:

• Plan, develop, and take ownership in data-intensive investigations of financial fraud
• Conduct background research to develop hypotheses of where fraud occurs
• Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
• Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs
• Summarize and present findings to technical and non-technical audiences

Job Qualifications:

Required

• Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
• Demonstrated experience with R, Python, and/or SQL
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• 2+ years of relevant full-time experience.
• Excellent skills in R, Python, and/or SQL
• Knowledge of financial concepts and principles
• Demonstrated aptitude for research

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. 

Main responsibilities include:

• Plan, develop, and take ownership in data-intensive investigations related to financial fraud
• Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
• Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct
• Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides
• Anticipated to grow toward managing projects and communicating with clients

Job Qualifications

Required

• 3+ years of relevant work experience
• Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field
• Demonstrated experience with R, Python, and/or SQL
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• Excellent skills in R, Python, and/or SQL
• Background in economic/management consulting or finance
• Knowledge of financial concepts and principles
• Knowledge of crypto, decentralized finance, or smart contracts
• Demonstrated aptitude for research

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

At Realtor.com® , we’re on a mission to revolutionize the way people find and secure their dream homes. Every day, we process terabytes of data to power intelligent search and personalized recommendations that serve millions of home buyers, renters, and real estate professionals. Our core search engine sits at the heart of this experience—helping users discover the right home faster, with greater confidence.

As Lead Product Manager for Personalization & User Intelligence, you will define and lead the strategy for a suite of foundational capabilities that power personalized, timely, and context-aware experiences across Realtor.com® ’s platform. These systems are critical to understanding our users’ intent, surfacing relevant content, and delivering the right message through the right channel at the right time.

You will be responsible for building scalable systems that understand user preferences, extract intelligence from geographic and behavioral data, and orchestrate personalized experiences across touchpoints. Your work will play a vital role in improving user engagement, driving retention, and enabling product teams to move faster through reusable, intelligent services.

This is a highly strategic and cross-functional role, visible at the executive level, with the opportunity to transform how users interact with Realtor.com® by infusing personalization, intelligence, and orchestration into every experience.

What You'll Do:

• Define and execute a visionary roadmap for User & Geo Intelligence and Property Intelligence —enabling contextual, personalized content delivery across surfaces.
• Lead efforts to deeply understand our users by consolidating behavioral signals, inferred preferences, and geo-spatial data into actionable user intelligence models.
• Collaborate with product teams across the company to integrate user and geo intelligence into the full consumer experience, from search, to recommendations, marketing campaigns, and CRM workflows. You will make listing recommendations a core part of the consumer experience.
• Drive adoption of reusable personalization services that unlock scalable and consistent user experiences across product surfaces.
• Evangelize your roadmap and product vision clearly across the company, delivering executive-level updates and articulating measurable impact.

How we work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What you'll bring:

• 8-10 ~~12+~~ years of product management experience, with at least 2 years owning backend platforms or infrastructure services related to machine learning models.
• Former data scientist or machine learning engineer turned product manager strongly preferred
• Bachelor’s degree or equivalent experience.
• A strong strategic mindset with a demonstrated ability to define platform roadmaps that scale across multiple product domains.
• Proven track record of driving impact through intelligent messaging platforms, real-time orchestration engines, or user modeling systems.
• A deep understanding of experimentation frameworks and how to measure impact through engagement, retention, and lifecycle conversion metrics.
• Strong data literacy; comfortable working with SQL, KPIs, dashboards, and partnering with data science on model iteration and success criteria.
• Excellent communication and stakeholder management skills with the ability to influence leadership decisions and align technical execution with strategic business goals.
• A passion for crafting personalized, respectful, and value-driven user experiences that scale.

How we Reward you:

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Why Join Us?

Realtor.com® is at a pivotal moment of digital transformation. In this role, you’ll set the standard for what modern, AI-driven search and discovery means for real estate. You’ll be at the heart of initiatives that redefine consumer expectations and shape the future of real estate engagement at scale.

Apply now to lead with vision, innovate with confidence, and build the next generation of Realtor.com® 's industry-defining search platform.