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Full Time Machine Learning Research Scientist Jobs in Chicago, IL

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Improve upon and develop novel quantum machine learning methods that combine quantum and classical ... The compensation range and benefits for this position are based on a full-time schedule for a full ...

Improve upon and develop novel quantum machine learning methods that combine quantum and classical ... The compensation range and benefits for this position are based on a full-time schedule for a full ...

... Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to ... Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ...

This role is part of a central ML research team that collaborates across trading teams at IMC. The ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

This role is part of a central ML research team that collaborates across trading teams at IMC. The ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

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Full Time Machine Learning Research Scientist information

See Chicago, IL salary details

$52K

$134K

$179.2K

How much do full time machine learning research scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for full time machine learning research scientist in Chicago, IL is $134,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $178,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Machine Learning Research Scientist vs Data Scientist?

AspectFull Time Machine Learning Research ScientistData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; some research experience
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, AI startupsTech firms, finance, healthcare, e-commerce
Search & Comparison IntentFocus on research, algorithms, and innovationFocus on data analysis, insights, and application

While both roles involve working with data and algorithms, a Full Time Machine Learning Research Scientist primarily focuses on developing new models and advancing ML research, often in academic or research settings. In contrast, a Data Scientist applies existing models to solve business problems, analyze data, and generate insights within industry environments.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Chicago, IL?

The most popular types of Machine Learning Research Scientist jobs in Chicago, IL are:

Research Scientist/Research Engineer, Reinforcement Learning

Jump Trading

Chicago, IL • On-site

$200K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our team is a group of quantitative researchers, engineers, and ML experts leading reinforcement learning research and trading at Jump. Our mission is to combine emerging techniques and original research to learn optimal decision-making policies from financial market data and monetize them globally. We are building the future of ML-powered trading through breakthrough reinforcement learning, and we're looking for an exceptional Research Scientist/Research Engineer to join our team.
What You'll Do
As a Research Scientist/Research Engineer working on RL, you'll be at the forefront of applying reinforcement learning to markets. You'll conduct original research and own the systems that turn it into production trading: designing and evaluating policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking; partnering with trading and research teams to source, integrate, and validate their alpha signals within the RL framework; ensuring simulation fidelity against live trading by modeling market microstructure, fill dynamics, liquidity, and latency; building efficient tooling to store, process, and analyze very large volumes of market and signal data; and communicating findings to technical and trading audiences. This isn't incremental optimization; we're pushing the boundaries of what reinforcement learning can do at scale, where your improvements directly impact live trading.
Other duties as assigned or needed.
Skills You'll Need
  • 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
  • Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production
  • Proficiency in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
  • Strong foundation in mathematics and statistics
  • PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent
  • Ability to thrive in a collaborative, team-oriented environment
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Reliable and predictable availability
  • Excellent written and verbal communication skills in English

Benefits
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range
$200,000-$350,000 USD