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Weekday Machine Learning Research Scientist Jobs in Deerfield, IL

IMC

Machine Learning Research Lead

Chicago, IL · On-site

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 ...

Elevance Health

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 ...

Elevance Health

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 ...

IBM

Research Scientist

Chicago, IL · On-site

Your role and responsibilities IBM Research is seeking a research scientist to advance novel ... Improve upon and develop novel quantum machine learning methods that combine quantum and classical ...

IBM

Research Scientist

Chicago, IL · On-site

Your role and responsibilities IBM Research is seeking a research scientist to advance novel ... Improve upon and develop novel quantum machine learning methods that combine quantum and classical ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

... 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 ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

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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All JobsWeekday Machine Learning Research Scientist JobsWeekday Machine Learning Research Scientist Jobs in Deerfield, IL

Weekday Machine Learning Research Scientist information

See Deerfield, IL salary details

$51.4K

$132.3K

$176.9K

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

As of Aug 24, 2026, the average yearly pay for weekday machine learning research scientist in Deerfield, IL is $132,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $175,900.00 per year, depending on experience, location, and employer.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What are the key skills and qualifications needed to thrive as a Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

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

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

What cities near Deerfield, IL are hiring for Weekday Machine Learning Research Scientist jobs?

Cities near Deerfield, IL with the most Weekday Machine Learning Research Scientist job openings:

Weekday Machine Learning Research Scientist jobs near you

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

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