Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

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.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

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.

For more info about interviewing at HRT, see this blog!

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

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.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

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.

JOB SUMMARY

As a Real-Time Controls Intern, you will play an active role in the development of the software that enables Apollo to move and interact with the world. You will contribute to the Real-Time Controls team by helping build and test the software layers that bridge high-level commands with physical hardware execution. This role is designed for a student or researcher eager to apply their knowledge of physics and programming to a production-grade humanoid robot, ensuring our systems perform reliably in real-world human environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Support the development and testing of real-time C++ software modules that drive robot motion.
• Assist in the integration of sensor data and firmware feedback into the core control loops.
• Help implement and validate mathematical models used for robot limb positioning and movement.
• Contribute to the software interfaces that translate high-level behavioral goals into executable robot tasks.
• Gather and analyze performance data from both physical hardware and simulation environments.
• Write unit tests and maintain clear documentation for software features to ensure system stability.
• Participate in team code reviews and contribute to a collaborative, agile development process.
• Represent and lead with Apptronik's core values: CHIPC - Curiosity, Humility, Integrity, Passion, Creativity.

SKILLS AND REQUIREMENTS

• Foundational C++: Basic understanding of Modern C++ (e.g., classes, memory management, and OOP principles).
• Scripting: Proficiency in Python for data analysis, automation, or testing.
• Physics & Math Foundations: Solid understanding of Newtonian physics (forces, torques) and linear algebra (vectors, matrices, and coordinate systems).
• Robotics Basics: Familiarity with standard robot components like actuators, encoders, and IMUs.
• Development Tools: Experience with Git for version control and comfort working in a Linux environment.
• Collaborative Mindset: Strong communication skills and a desire to solve complex problems within a multidisciplinary team.

EDUCATION and/or EXPERIENCE

• Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
• Relevant experience through personal projects or academic research projects focused on robotics, motion, or physical simulation.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift 15 pounds at times.
• Vision to read printed materials and a computer screen.
• Hearing and speech to communicate.

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

This opportunity is also available in our New York City and Austin offices.

What you’ll do:

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2026 and available to start full-time employment upon graduation
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Experience in machine learning, with practical applications in time-series analysis and pattern recognition
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Who we are: 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-JG1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-GO1
#LI-JG1

AIR’s Employment & Economic Opportunity Program is seeking a Quantitative Researcher to work on research projects to improve education, training, and workforce opportunities for youth and adults. This position will support a portfolio of federally, state, and philanthropically funded research and evaluation projects focused on education, workforce development, and economic opportunity, including large‑scale studies, evaluations, and analytic initiatives serving federal agencies, states, and national partners. 

The Researcher will play a key role in the design, execution, data analysis, and dissemination of rigorous applied research. The role is well‑suited for a collaborative researcher who combines strong analytic skills with the ability to translate complex findings into clear, actionable products for diverse audiences.

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

This opportunity is also available in our Chicago and Austin offices.

What you’ll do:

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2026 and available to start full-time employment upon graduation
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Experience in machine learning, with practical applications in time-series analysis and pattern recognition
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Who we are: 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

Austin is home to Optiver’s main research, design and manufacturing facility for our custom trading system hardware. Fully understanding the components we use and the (exchange) environments in which our systems operate is critical to our success. We’re looking to expand the team with a quantitative researcher to help in hardware R&D.

With your quantitative skills and affinity for hardware, you’ll work with the engineers in the lab devising experiments, gathering data, running analysis and ultimately building an understanding of how things actually work. Using this knowledge to help to improve our designs, systems and the strategies that run upon them.

What you’ll do

You’ll be involved in a wide variety of tasks which focus around your quantitative skills and understanding of hardware. This is just a few of the things you’ll do:

• Design, build and run experiments to characterize hardware such as switches, routers and trading systems at picosecond scales
• Work with execution researchers at all of our offices to understand real world vs lab performance of our trading systems and strategies
• Work with our software engineers in the lab to scale out and automate your research such that we can apply it at a global scale
• Be part of designing the next generation of systems and strategies which take your findings into account
• Your experience with lab measurements makes you a valuable resource for anyone looking at production data or trying to improve our production captures
• Help run the lab, make sure we have everything we need to run upcoming experiments and manage the queue of work
• Be involved with suppliers to test and understand next generation systems and measurement equipment

What you'll get

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• Highly competitive compensation package
•  Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

The ideal candidate combines a strong quantitative background with a deep understanding of hardware and can combine both of these skills to drive analysis that helps us improve our designs and strategies:

• You have a strong understanding of quantitative analysis methods and have the ability to present findings to others
• You are grounded in physical reality; you have an understanding of how hardware works and have the ability to use this knowledge to form hypothesis, conduct physical experiments and draw conclusions from that
• You are comfortable working with Python and Jupyter notebooks
• You’re not afraid to be hands on in a datacenter lab environment
• Programming experience in low level languages such as C/C++ or VHDL is a strong plus
• Experience with (low-latency) networks and related hardware is a strong plus
• An educational background in Statistics, Mathematics, Engineering, Computer Science, or similar (Masters/PhD preferred)
• A preference for working collaboratively with like-minded people
• A passion for solving problems and a drive for results

Who we are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software, and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into systems, infrastructure, machine learning, big data and computing R&D efforts. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

This opportunity is also available in our Chicago and New York City offices.

What you’ll do:

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2026 and available to start full-time employment upon graduation
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Experience in machine learning, with practical applications in time-series analysis and pattern recognition
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Who we are: 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

The Business Development team at Braze shapes future revenue success every day. It is the team at the forefront of identifying, understanding and helping potential customers build, enhance or transform their customer engagement offering.

Business Development Representatives (BDRs) at Braze grow into skilled commercial players and are trailblazers and action leaders when it comes to: 

• Identifying target accounts
• Developing email and phone campaigns
• Engaging C-suite prospects
• Demonstrating the value of Braze
• Qualifying early stage deals

BDR is a multi-faceted role, kept fresh and exciting by day-to-day priorities like building account strategies with Account Executives, discovery phone calls, meetings with leaders and executives across accounts, building personalized email sequences and attending events to generate new leads. The ultimate goal is to generate high quality relationships that transform into high quality new business opportunities.

Every individual has a personal quota, and shares a team goal. The team is collaborative, communicative and we are always the first to take action. There’s a lot of support and camaraderie with plenty of room to be proactive and take control of your own sales success. It is one of the most energetic, fun teams at Braze! 

BDRs gain huge value from working together at our amazing offices.  BDRs at Braze have a hybrid schedule, which means they will be in office a minimum of 3 days a week. This allows our team to thrive in a learning environment together.

WHAT YOU'LL DO

BDR is a high impact role. The BDR will research accounts, develop and action a communication plan (via phone, email, LinkedIn, video etc) to generate new business opportunities (pipeline). There are proven processes to follow, several intuitive user friendly tools to use and KPIs to keep momentum up. BDR’s prioritize outreach to prospects: the more relevant stakeholders we can speak with, the more likely we are to be successful in that account.

BDRs will manage their own meetings, and bring in other internal stakeholders as needed. They conduct high-level conversations with C-suite executives about their business goals, customer engagement and marketing challenges/opportunities with a view to understanding and ‘qualifying’ the opportunity. BDRs also deliver value-orientated pitches and solution demonstrations.

Ultimate success for a BDR is to generate the volume and value of deals required to hit their quota, and bring great new brands to Braze! This is done by meeting outreach KPIs, setting meetings and carrying out great discovery and qualification. The commission plan is uncapped, so once a BDR hits quota, they can keep on earning.

There is advancement potential for consistently successful BDRs, with personalized development plans, coaching and internal resources to plan for the next rewarding role at Braze.

WHO YOU ARE

• Adaptable
• Action orientated
• Precise and engaging communicator (written and verbal)
• Strong researcher
• Creative
• Problem solver
• Intellectually curious
• Self aware/coachable
• Intrinsically motivated
• Well organized and accountable
• Relentlessly tenacious

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $45,000 and $54,000/year with an expected On Target Earnings (OTE) between $75,000 and $90,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 

Join AIR as a Quantitative Researcher with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

The Principal Researcher in Child Welfare will lead business pursuits related to federal, state, and local child welfare policy and program research and evaluation. We seek a dynamic business development leader contributing to the expansion and management of a robust portfolio of contract and grant-funded policy, research and evaluation projects in child welfare. Areas of expertise by the candidate may include child welfare data system integration, cross-system data use, adoption, permanency, kinship care, foster parents, prevention, and other child welfare content, program, or policy areas. The chosen candidate will be a leader in AIR’s Children and Families portfolio of business pursuits and projects, which also includes early childhood education and care, and maternal and child health. The candidate will be proactively thinking ahead about opportunities. The candidate will have content, technical and management expertise, with the ability to build and nurture relationships with clients and leaders in the child welfare field. 

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include

Qualifications:

Education, Knowledge, and Experience 

• Doctoral degree in child development, developmental psychology, human development, education, public or social policy, economics, social welfare or a related field, with  minimum of 7 years of relevant work experience managing and conducting research, or Master’s degree and at least 11 years of relevant experience. 
• 10 or more years of project leadership experience, including proposal writing, project management, staff supervision, report writing, and external relationship management. 
• National and positive reputation for expertise in child welfare and well-connected in the field. 
• Knowledge of family supports, social services and/or early childhood research. 
• Proven record of accomplishment leading proposals and winning competitive contracts/grants from various funding organizations (e.g., Federal, state, and local government; foundations). 
• Familiarity with federal and state procurement and contract opportunities. 
• Experience effectively leading and mentoring diverse teams working on research-focused projects and/or tasks within large/complex projects, including team oriented to ensure project excellence, timeliness, and on-budget execution. 

Skills 

• Strong quantitative, qualitative, or mixed-method design and analysis skills to serve as a senior team leader on proposals and projects. 
• Demonstrated strong writing skills to effectively communicate findings and policy implications from technical research for policymakers and practitioners.
• Demonstrated clear oral communication skills, including the capacity to collaborate professionally with clients, federal or foundation project officers, implementing partners, consultants, program leadership staff, and other stakeholders.
• Proven ability to develop staff capacity in research and evaluation design and methods, project management, client relationships, research publication and business development. 
• Ability to manage multiple tasks and deadlines independently while contributing to a collaborative team environment. 
• Strong analytical and problem-solving skills, with attention to accuracy and research best practices. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Senior Product Designer (Hybrid - 2 to 3 days onsite per week) 

Overview:

Senior Product Designers at Weedmaps are motivated team players with a deep understanding of user-centered design, and a passion for creating experiences people love.

In your day-to-day, you will identify, evaluate, and improve critical user journeys – making quantitative and qualitative-informed design decisions. Weedmaps is a mobile-first and data-first company, where all projects and initiatives are backed by research, thoroughly tested, and designed for our native app users. You must be able to communicate the rationale for and approach for your design work in the form of verbal and written communication, user flows, wireframes, hi-fi comps, interactive prototypes, and proper documentation. As a Senior resource, you will be expected to come to understand the business’ needs and goals, and tightly align your work accordingly. At Weedmaps, you’ll have opportunities to work on industry-shaping products on both web and mobile apps.

Join a team of creatives passionate about cultivating a culture of creativity and collaboration in alignment to Weedmap’s mission to foster business solutions, social reform, and equal access to cannabis!

The impact you'll make:

• Enthusiastically champion design thinking and collaboration throughout the company
• Collaborate with Product, Data, Research, Engineering, and other teams to identify needs, define requirements, discover solutions, execute, and ship
• Align design decisions with business goals while crafting world-class user experiences
• Distill complex problems into discrete components with actionable solutions
• Maintain, guide, and push the boundaries of our design system
• Prototype and test interactions and user experiences objectively and without bias
• Use both qual and quant data and analytics to make informed decisions
• Actively participate in group critiques by both providing and receiving thoughtful, constructive feedback
• Collaborate with research partners and product managers to participate in discovery and usability studies, ensuring design work is grounded in user insights.
• Create design artifacts including but not limited to: information architecture diagrams, user flows, user stories, use cases, research plans, wireframes, high-fidelity mock-ups, and interactive prototypes

What you've accomplished:

• 5+ years of professional experience with end-to-end product design
• A strong portfolio showcasing examples of human-centered designs, with clear indication of your specific contributions
• Ability to lead or work independently on medium-to-large sized projects
• Experience designing and conducting usability tests
• Experience using analytics to make informed, data-driven decisions
• Experience working with design systems
• Meaningful experience in B2C eCommerce and/or B2B SaaS is a huge plus

Bonus points: 

• Strong work ethic, sense of accountability, self-management and collaboration
• Effective communication skills
• Knowledge of front-end coding concepts such as HTML5 / CSS / JavaScript
• Experience with Design Thinking and Design Sprints
• Knowledge of and passion for the cannabis industry is a huge plus

The base pay range for this position is $121,409 - $153,180 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Product Designer (Remote)

Overview:

Senior Product Designers at Weedmaps are motivated team players with a deep understanding of user-centered design, and a passion for creating experiences people love.

In your day-to-day, you will identify, evaluate, and improve critical user journeys – making quantitative and qualitative-informed design decisions. Weedmaps is a mobile-first and data-first company, where all projects and initiatives are backed by research, thoroughly tested, and designed for our native app users. You must be able to communicate the rationale for and approach for your design work in the form of verbal and written communication, user flows, wireframes, hi-fi comps, interactive prototypes, and proper documentation. As a Senior resource, you will be expected to come to understand the business’ needs and goals, and tightly align your work accordingly. At Weedmaps, you’ll have opportunities to work on industry-shaping products on both web and mobile apps.

Join a team of creatives passionate about cultivating a culture of creativity and collaboration in alignment to Weedmap’s mission to foster business solutions, social reform, and equal access to cannabis!

The impact you'll make:

• Enthusiastically champion design thinking and collaboration throughout the company
• Collaborate with Product, Data, Research, Engineering, and other teams to identify needs, define requirements, discover solutions, execute, and ship
• Align design decisions with business goals while crafting world-class user experiences
• Distill complex problems into discrete components with actionable solutions
• Maintain, guide, and push the boundaries of our design system
• Prototype and test interactions and user experiences objectively and without bias
• Use both qual and quant data and analytics to make informed decisions
• Actively participate in group critiques by both providing and receiving thoughtful, constructive feedback
• Collaborate with research partners and product managers to participate in discovery and usability studies, ensuring design work is grounded in user insights.
• Create design artifacts including but not limited to: information architecture diagrams, user flows, user stories, use cases, research plans, wireframes, high-fidelity mock-ups, and interactive prototypes

What you've accomplished:

• 5+ years of professional experience with end-to-end product design
• A strong portfolio showcasing examples of human-centered designs, with clear indication of your specific contributions
• Ability to lead or work independently on medium-to-large sized projects
• Experience designing and conducting usability tests
• Experience using analytics to make informed, data-driven decisions
• Experience working with design systems
• Meaningful experience in B2C eCommerce and/or B2B SaaS is a huge plus

Bonus points: 

• Strong work ethic, sense of accountability, self-management and collaboration
• Effective communication skills
• Knowledge of front-end coding concepts such as HTML5 / CSS / JavaScript
• Experience with Design Thinking and Design Sprints
• Knowledge of and passion for the cannabis industry is a huge plus

The base pay range for this position is $130,386 - $163,606 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Product Designer (Remote)

Overview:

Senior Product Designers at Weedmaps are motivated team players with a deep understanding of user-centered design, and a passion for creating experiences people love.

In your day-to-day, you will identify, evaluate, and improve critical user journeys – making quantitative and qualitative-informed design decisions. Weedmaps is a mobile-first and data-first company, where all projects and initiatives are backed by research, thoroughly tested, and designed for our native app users. You must be able to communicate the rationale for and approach for your design work in the form of verbal and written communication, user flows, wireframes, hi-fi comps, interactive prototypes, and proper documentation. As a Senior resource, you will be expected to come to understand the business’ needs and goals, and tightly align your work accordingly. At Weedmaps, you’ll have opportunities to work on industry-shaping products on both web and mobile apps.

Join a team of creatives passionate about cultivating a culture of creativity and collaboration in alignment to Weedmap’s mission to foster business solutions, social reform, and equal access to cannabis!

The impact you'll make:

• Enthusiastically champion design thinking and collaboration throughout the company
• Collaborate with Product, Data, Research, Engineering, and other teams to identify needs, define requirements, discover solutions, execute, and ship
• Align design decisions with business goals while crafting world-class user experiences
• Distill complex problems into discrete components with actionable solutions
• Maintain, guide, and push the boundaries of our design system
• Prototype and test interactions and user experiences objectively and without bias
• Use both qual and quant data and analytics to make informed decisions
• Actively participate in group critiques by both providing and receiving thoughtful, constructive feedback
• Collaborate with research partners and product managers to participate in discovery and usability studies, ensuring design work is grounded in user insights.
• Create design artifacts including but not limited to: information architecture diagrams, user flows, user stories, use cases, research plans, wireframes, high-fidelity mock-ups, and interactive prototypes

What you've accomplished:

• 5+ years of professional experience with end-to-end product design
• A strong portfolio showcasing examples of human-centered designs, with clear indication of your specific contributions
• Ability to lead or work independently on medium-to-large sized projects
• Experience designing and conducting usability tests
• Experience using analytics to make informed, data-driven decisions
• Experience working with design systems
• Meaningful experience in B2C eCommerce and/or B2B SaaS is a huge plus

Bonus points: 

• Strong work ethic, sense of accountability, self-management and collaboration
• Effective communication skills
• Knowledge of front-end coding concepts such as HTML5 / CSS / JavaScript
• Experience with Design Thinking and Design Sprints
• Knowledge of and passion for the cannabis industry is a huge plus

The base pay range for this position is $130,386 - $163,606 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

About Avride

Avride is a US-based developer of autonomous vehicles and delivery robots. We develop and operate both autonomous cars and delivery robots that share technologies and mutually benefit from each other's advancements—a unique approach in the industry. 

About the Internship

At Avride, Research Engineer Interns operate at the intersection of cutting-edge academic research and real-world engineering. You will use our massive datasets of real driving logs to train models and develop algorithms.

During this internship, you will be embedded in the ML Prediction and Planning team, which is responsible for building machine learning models that enable autonomous vehicles to understand their environment and make safe, efficient driving decisions on real roads. The team focuses on predicting the behavior of surrounding agents and generating trajectories that the vehicle can follow in complex, dynamic scenarios.

You will be paired with a dedicated senior researcher and work on problems directly impacting real-world driving performance. This program is designed to give you a deep understanding of how to take a theoretical concept from a research paper, prototype it, and evaluate its performance in a complex, safety-critical system.

What You’ll Do

We are currently offering two different internships within our ML Prediction and Planning team for the Summer of 2026. 

Autonomous Vehicles

• Applied Research Project: Take ownership of a research project focused on exploring how model ensembling strategies influence the gap between open-loop (training) and closed-loop (simulation) performance. You will review relevant literature, formulate hypotheses, and prototype solutions using Python and ML frameworks (like PyTorch).
• Design Ensembling Strategies: Implement and evaluate multiple ensembling approaches, including blending models trained with different random seeds, combining checkpoints from different training stages, and applying weighted averaging or learned blending of model outputs.
• Run Controlled Experiments: Systematically compare single-model vs ensemble performance and seed diversity vs checkpoint diversity, and measure their impact on open-loop metrics (training/validation loss, accuracy) and closed-loop metrics (simulation performance, safety, stability).
• Analyze Metric Alignment: Investigate the correlation (or lack thereof) between open-loop and closed-loop improvements, identify cases where ensembling improves one metric but degrades the other, and formulate hypotheses explaining the observed behavior.

Simulation

• Applied Research Project: You will work on evaluating and improving the behavior of ML-driven traffic agents in our autonomous driving simulator. Our prediction model generates multiple trajectory candidates for each simulated agent at every step. Your job is to design evaluation functions that select trajectories with desired properties — from realistic to adversarial — and build quantitative metrics to measure how agent behavior changes. Today we assess realism visually; you will replace that with data-driven evaluation that becomes the standard tool for measuring every future improvement to our agent simulation. You'll work with real driving data, run experiments on large scenario pools, and produce results that directly influence the team's roadmap for agent simulation.
• Design and implement algorithms: work alongside your mentor to design, test, and iterate algorithms that select agent trajectories optimizing for different objectives: aggressiveness, interaction density, route fidelity.
• Build evaluation metrics: for comparing agent behavior strategies: interaction intensity (time-to-collision, proximity), kinematics plausibility (acceleration, jerk), and distributional similarity to real traffic.
• Data-Driven Experimentation: run experiments on large-scale scenario pools, comparing ML agents agains baseline approaches and measuring the impact of different strategies.
• Work with production codebase: the prediction models you'll experiment with are the same ones deployed in our autonomous vehicles. Your work is a part of a C++ simulation pipeline running large-scale scenario evaluation.
• Knowledge Sharing: Conclude your internship by presenting your methodology, experimental results, and data-driven recommendations on where trajectory ranking is sufficient and where model-level changes are required.

What You’ll Need

• Education: Currently pursuing a Bachelor's, Master’s, or PhD (highly preferred) in Computer Science, Robotics, Machine Learning, Applied Mathematics, or a related field with an expected graduation date between Winter 2026 and Spring 2027. 
• Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or probabilistic modeling.
• Programming Skills: Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Basic familiarity or willingness to learn C++.
• Research Acumen: Ability to read, understand, and implement algorithms from academic research papers. A strong analytical mindset for designing experiments and interpreting data.
• Eagerness to Learn: Highly collaborative, open to feedback, and excited to tackle unsolved problems in the autonomous driving space.

What You’ll Get

• 1:1 Mentorship: Direct guidance from leading researchers and engineers in the autonomous vehicle industry to help you navigate technical roadblocks and grow your career.
• Massive Compute & Data: Access to state-of-the-art driving data to fuel your experiments.
• Networking & Culture: Invitations to tech talks, paper reading groups, intern social events, and cross-team collaborations.

Please note that this is an in-person internship based at our office in Austin, Texas.  We are prioritizing candidates who currently reside within commuting distance of Austin.  We do not provide relocation assistance, travel reimbursement, or housing stipends for this position.

Your Impact

The Senior Machine Learning Research Scientist is a key contributor to DISCO’s machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.

What You'll Do

• Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers. 
• Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives. 
• Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact. 
• Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
• Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.

Who You Are

• 6 to 8+ years of relevant experience in machine learning research. 
• Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
• Proven track record of impactful research projects and leadership.
• Proven experience in leading or significantly contributing to complex and large-scale research projects.
• Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
• Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
• Contribution to the development and implementation of long-term research strategies.
• Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
• Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
• Continued innovation in the development of novel algorithms, methodologies, or applications. 
• Track record of contributing groundbreaking ideas to the field of machine learning. 
• Substantial experience in applying machine learning research to real-world industry problems. 
• A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.

Even Better If You Have…

• Experience in operational leadership, optimizing research processes.
• Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Perks of DISCO 

• Open, inclusive, and fun environment
• Benefits, including medical, dental and vision insurance, as well as 401(k) 
• Competitive salary plus RSUs
• Flexible PTO 
• Opportunity to be a part of a company that is revolutionizing the legal industry
• Growth opportunities throughout the company

AIR seeks a Senior Researcher for the Human and Community Development program to advance evidence and practice related to suicide prevention in the military, law enforcement, and community with an understanding on broad safety and justice systems. This position will focus on prevention science with emphasis on preventing violence and other forms of harmful behaviors. The Senior Researcher will lead and/or manage complex research and evaluation efforts; collaborate with internal and external partners, including federal, state, and local agencies; and contribute to strategic visioning that strengthens suicide prevention and safety outcomes, and provide mentorship and guidance to teams. This position will also provide oversight on data collection, management, analysis, and visualization for contract and grant research and evaluation projects. The ideal candidate is committed to building out our prevention portfolio, particularly in suicide prevention, and taking a strengths-based perspective. We are especially interested in candidates that have direct experience with suicide prevention, preferably in the military, law enforcement, and justice system context, and who have strong project and people management skills.

Related projects aim to use prevention science to focus around one or more areas, including but not limited to: 

Content areas:

• Suicide prevention
• Public health approach to primary prevention of violence, such as
• community violence
• youth violence
• intimate partner and sexual violence
• child maltreatment and adverse childhood experiences (ACEs)
• Military communities, readiness, and resilience
• Systems change, including organizational and culture change in community-serving systems and in the military
• Public health workforce competencies and career pipelines
• Data visualization and dissemination

Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include:

Project & Portfolio Leadership

• Manage large, complex research projects or a portfolio of smaller studies, ensuring alignment with client expectations and organizational priorities.
• Oversee project planning, design, and implementation, including development of methods, procedures, timelines, and reporting structures.
• Anticipate project risks and develop mitigation strategies to ensure timely, high‑quality deliverables.
• Ensure compliance with ethical standards, IRB requirements, and data governance policies.

Methodological & Technical Expertise

• Serve as a methodological authority, advising teams on advanced quantitative, qualitative, and mixed‑methods approaches.
• Develop conceptual frameworks and innovative research methodologies that advance understanding of prevention and evaluation topics.
• Lead the review, analysis, synthesis, and visualization of data using appropriate practices and techniques.
• Ensure data integrity, reproducibility, and strong documentation across all analytic workflows.

Strategic & Organizational Contribution

• Contribute to organizational strategy by identifying emerging research needs, funding trends, and opportunities for innovation in public health and prevention science.
• Represent the organization in national working groups, advisory panels, and technical expert meetings.
• Lead internal capacity‑building efforts through trainings, workshops, and knowledge‑sharing initiatives.

Client, Partner & Stakeholder Engagement

• Communicate effectively—both orally and in writing—with clients, partners, funders, and other key stakeholders.
• Translate complex research findings into actionable insights tailored to policymakers, practitioners, and community partners.
• Manage client and stakeholder relationships with professionalism and awareness of the broader policy and practice landscape.
• Curate external relationships by engaging thought leaders, innovators, and implementation partners across the public health arena.

Dissemination & Field Leadership

• Serve as a subject‑matter expert and disseminate findings through peer‑reviewed publications, technical reports, policy briefs, and presentations at conferences and seminars.
• Strengthen the organization’s visibility and influence within the public health and prevention research communities.

Proposal Development & Business Growth

• Lead and contribute to research proposals for federal, state, foundation, and other client opportunities.
• Develop competitive proposal strategies, including conceptual design, methodological plans, staffing, and budgets.
• Identify new business opportunities and cultivate partnerships that advance the organization’s mission.

Team Leadership & Mentorship

• Manage and mentor staff to build prevention expertise, strengthen technical capacity, and support professional growth.
• Provide thought partnership and coaching to mid‑level researchers on research design, analysis, and dissemination.
• Model inclusive leadership practices and foster a collaborative team environment.

Qualifications:

Education, Knowledge, and Experience

• PhD in related subject area (e.g., Sociology, Psychology, Anthropology, Public Policy, or related field) with 3+ years of relevant experience or Master’s degree with 7+ years of relevant experience.
• Firm understanding of implementation science.
• Ability to take big ideas and develop work plans and timelines.
• Experience at contract research and/or evaluation organization(s).
• Experience with data collection methodologies (including but not limited to structured interviews, observations, survey research) and analysis activities (including but not limited to experience with quantitative and/or qualitative analytic software packages such as STATA, R, Excel,
  NVivo
  , and Access).
• Experience managing project and/or task teams on research and evaluation projects.
• Experience building and maintaining client and partner relationships.
• Experience with business pursuit (e.g., grant and proposal writing).

 Skills

• Strong organizational and interpersonal skills including strong communication skills with the ability to produce concise, high-level summaries and briefings.
• Strong negotiator and communicator, with excellent client management skills.
• Strong presentation, professional development delivery, and facilitation skills.
• Strong attention to detail and commitment to accuracy when writing. 
• Can collaborate effectively in a virtual work environment. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Join AIR as a Principal Researcher with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

This Principal Researcher will contribute to large-scale implementation and monitoring initiatives for federal health agencies. The ideal candidate will bring deep experience in monitoring frameworks, analytic design, alternative payment models, and federal program operations—particularly Centers for Medicare & Medicaid Services (CMS) and the CMS Innovation Center (CMMI). 

This role emphasizes monitoring expertise, methodological rigor, and the ability to lead large projects or tasks, contribute to thought leadership, project execution, and business development in AIR’s large and growing implementation and monitoring portfolio. 

Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include:

Thought Leadership & Technical Expertise 

• Serve as a subject matter and methodological expert in the implementation and monitoring of federal health programs, especially alternative payment models, and value-based care initiatives. 
• Provide leadership in designing monitoring frameworks, performance metrics, data collection plans, and analytic strategies for implementation and monitoring contracts. 
• Contribute to AIR’s technical vision for CMS and CMMI work, helping shape approaches that meet federal expectations for rigor, transparency, and accuracy. 

Project Execution & Oversight 

• Direct large, complex implementation and monitoring or evaluation projects—or a portfolio of smaller projects—ensuring alignment with federal requirements and high quality delivery, on time and on budget. 
• Oversee the planning, design, and implementation of project procedures, including monitoring plans, analytic plans, research protocols, monitoring reports, risk summaries, and stakeholder engagement strategies. 
• Serve as a senior contributor to model testing, monitoring, and evaluation tasks, including real-time monitoring, operational assessments, and rapid cycle learning. 
• Collaborate with data and analytic teams to connect monitoring indicators to underlying data sources (claims, administrative, practice‑based, state‑based).
• Guide development of data protocols, dashboard requirements, and reporting structures for monitoring deliverables.

CMS Facing Expertise & Business Development 

• Serve as a thought partner to AIR leadership on work conducted for CMS/CMMI, interpreting federal priorities, model goals, and policy developments. 
• Lead or significantly contribute to proposal development involving monitoring, implementation, and operational oversight including designing methodological approaches, reviewing narratives for soundness, and leading staffing and budgeting decisions. 
• Cultivate and maintain relationships with federal clients and partners, helping position AIR for future CMS and HHS opportunities. 

Team Leadership, Mentorship & Collaboration 

• Coach, mentor, and support junior and midcareer staff, setting developmental goals and modeling high quality technical and analytic work. 
• Collaborate with colleagues across research, analytics, communications, TA, and operations teams to ensure integrated, high quality products. 
• Contribute to a collaborative environment that values and respects a wide range of perspectives, abilities, backgrounds, and experiences.

Qualifications:

Education, Knowledge, and Experience

• Ph.D. in Economics, Health Services Research, or a related field with a minimum of 7 years of relevant work experience managing and conducting research or related work or Master’s degree and at least 11 years of relevant experience. 
• Minimum of 5 years project leadership experience or large task leadership experience on complex implementation, analytics, research, or evaluation projects. 
• Direct experience working on CMS implementation, monitoring, evaluation, or operational support. 
• Proven track record of winning or contributing to winning new business with CMS or other HHS agencies. 
• Extensive knowledge of Medicare payment policy, Medicaid and/or Medicare Advantage. 
• Experience working with Medicare or Medicaid claims, and other publicly available datasets.

Skills

• Demonstrated monitoring expertise, including developing monitoring plans, indicators, protocols, and analysis to support federal program oversight. 
• Strong leadership, organizational, and interpersonal skills appropriate for a senior‑level researcher. 
• Extensive experience in conceptualizing, analyzing, and contributing to large‑scale federally funded projects. 
• Excellent written communication skills with a commitment to accuracy, clarity, and evidence‑based messaging. 
• Ability to collaborate effectively with multidisciplinary teams and external partners. 
• Strong strategic thinking and ability to see the broader context of complex research and implementation projects.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Join AIR as a Principal Researcher with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

The Principal Researcher is a senior technical expert in quality measure development and implementation for largescale federal programs, particularly Centers for Medicare & Medicaid Services (CMS) and the CMS Innovation Center (CMMI). This role will contribute to quality strategy, measure refinement, annual measure updates, and analytic work that supports performance based payment and monitoring.

This role emphasizes quality measures expertise, methodological rigor, and the ability to lead large projects or tasks, contribute to thought leadership, project execution, and business development in AIR’s large and growing implementation and monitoring portfolio. 

Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.   

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include:

Qualifications:

Education, Knowledge, and Experience

• Ph.D. in Economics, Health Services Research, or a related field with a minimum of 7 years of relevant work experience managing and conducting research or related work or Master’s degree and at least 11 years of relevant experience. 
• Minimum of 5 years project leadership experience or large task leadership experience on complex implementation, analytics, research, or evaluation projects. 
• Direct experience with CMS/CMMI quality measurement, including alternative payment models or model evaluation.
• Deep familiarity with quality measure specifications, measure stewardship, certification processes, and use of measure repositories/tools.
• Experience with Medicare and Medicaid quality measures, including claims‑based, practice‑based, patient‑reported, and state‑based measures.
• Proven track record of winning or contributing to winning new business with CMS or other HHS agencies. 

Skills

• Advanced technical expertise in quality measurement (development, refinement, specification review, testing, validation). 
• Strong leadership, organizational, and interpersonal skills appropriate for a senior level researcher. 
• Extensive experience in conceptualizing, analyzing, and contributing to large‑scale federally funded projects. 
• Excellent written communication skills with a commitment to accuracy, clarity, and evidence based messaging. 
• Ability to collaborate effectively with multidisciplinary teams and external partners. 
• Strong strategic thinking and ability to see the broader context of complex research and implementation projects. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Join AIR as a Senior Researcher with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

The Senior Researcher leads and executes applied research projects end to end—designing rigorous studies, managing teams and budgets, overseeing data collection and analysis, developing proposals, and communicating actionable findings while serving as a trusted partner to clients and stakeholders.

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

• Manage day-to-day project operations in roles such as principal investigator, project director, or task lead, ensuring deliverables are completed on time, within budget, and to a high standard.
• Lead collaborative project teams by developing timelines and coordinating staff assignments.
• Identify research problems and design rigorous applied studies, including aligned research questions, methodologies, and analytic plans.
• Apply subject-matter expertise to design and implement relevant, responsive, and impactful research projects.
• Lead and contribute to research proposals for federal, state, foundation, and other clients.
• Devise and implement innovative solutions to practical challenges in applied research.
• Lead data collection and analysis efforts, including the design of qualitative and/or quantitative data collection tools (e.g., interview protocols, focus group guides, surveys).
• Supervise field-based data collection activities, including interviews, observations, focus groups, and document reviews.
• Conduct or oversee data analysis using appropriate tools and techniques for various data types.
• Communicate study progress and findings clearly and effectively through reports, briefs, visualizations, and other materials.
• Represent the organization professionally in client interactions and manage client and stakeholder relationships with awareness of the broader policy and practice landscape.
• Communicate effectively, both orally and in writing, with clients, partners, and stakeholders, and foster positive, collaborative working relationships.
• Contribute thoughtfully and creatively to project teams.

Qualifications:

Education, Knowledge, and Experience

• PhD in a related field (e.g., Sociology, Psychology, Anthropology, Public Policy, or a related discipline) with 3+ years of relevant experience, or a master’s degree with 7+ years of relevant experience.
• Demonstrated ability to translate complex ideas into actionable work plans and timelines.
• Experience with qualitative data collection methodologies (e.g., structured interviews, observations, survey research) and analytic software (e.g., NVivo), and/or quantitative analysis using tools such as Stata, R, Python, or Access.
• Experience managing project and/or task teams on research and evaluation projects.
• Experience building and maintaining strong client and partner relationships.
• Experience supporting business development efforts, including grant and proposal writing.
• Experience analyzing claims and other large or complex data sets.
• Experience working in contract research and/or evaluation organizations.

 Skills

• Strong organizational and interpersonal skills including strong communication skills with the ability to produce concise, high-level summaries and briefings.
• Strong negotiator and communicator, with excellent client management skills.
• Strong presentation, professional development delivery, and facilitation skills.
• Strong attention to detail and commitment to accuracy when writing. 
• Can collaborate effectively in a virtual work environment. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Join AIR as a Researcher focused on Medicaid policy and programs with our Healthcare Innovations team. Our team works collaboratively to address complex challenges related to Medicaid coverage, care delivery, cost containment, and health equity, supporting federal and state partners in improving outcomes for low‑income and medically vulnerable populations. 

Our multidisciplinary team—including economists, data scientists, public health experts, clinicians, and policy researchers—advances evidence through rigorous research and evaluation, results‑driven technical assistance, and applied analytics. This role will contribute directly to studies that inform Medicaid policy design, program evaluation, and system transformation. 

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR: 

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide 

The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. 

THE ROLE

As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers.  The environment is collegiate and collaborative, encouraging exposure to many teams across the globe. 

• Apply your observation skills and modern statistical methods to identify and build predictive models
• Research and implement new trading strategies
• Analyze existing strategies to identify potential improvements
• Develop risk models and frameworks to manage portfolio risks
• Create tools to automate research tasks and improve visualization of complex data sets

THE CANDIDATE

• PhD in Science, Math, Engineering or other quantitative or STEM programs.
• No previous Quant Finance or specific asset class experience required.
• History of diverse, challenging, and interesting coursework paired with a strong GPA
• Exceptional quantitative, mathematical, and problem-solving skills
• Great communication skills and the ability to collaborate with peers
• Ability to solve technical and or quantitative problems under pressure
• Ability to express ideas mathematically and algorithmically
• Programming skills (especially Python and C/C++)
• Intellectually curious and self-motivated Ability to communicate within and across teams, at a high and low level, on both technical and non-technical subjects
• Ability to seek guidance and learn new skills from peers
• Extraordinary mental flexibility and a high tolerance for ambiguity
• Strong drive for success within a collaborative team

THE PROCESS

After passing an application screening, candidates will be sent an online programming test via email from a service called HackerRank as a first step of the process.

Salary Range: $175,000 - $200,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.