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Learning Sciences Researcher Jobs (NOW HIRING)

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Learning Scientist

Mountain View, CA · On-site

PhD in learning sciences, cognitive psychology, education, or a related field -- or equivalent research experience * Experience with intelligent tutoring systems, adaptive learning, or AI-based ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ...

career

Learning Scientist

Mountain View, CA · On-site

... sciences, cognitive psychology, education, or a related field - or equivalent research experience - Experience with intelligent tutoring systems, adaptive learning, or AI-based instruction ...

career

Learning Scientist

Mountain View, CA · On-site

... sciences, cognitive psychology, education, or a related field -- or equivalent research experience - Experience with intelligent tutoring systems, adaptive learning, or AI-based instruction ...

career

Learning Scientist

Mountain View, CA · On-site

... sciences, cognitive psychology, education, or a related field - or equivalent research experience - Experience with intelligent tutoring systems, adaptive learning, or AI-based instruction ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

... from fundamental research in machine learning, development, deployment, and performance ... This position is in the Center for Applied Scientific Computing (CASC) Division within the ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

... from fundamental research in machine learning, development, deployment, and performance ... This position is in the Center for Applied Scientific Computing (CASC) Division within the ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

... from fundamental research in machine learning, development, deployment, and performance ... This position is in the Center for Applied Scientific Computing (CASC) Division within the ...

Trading Interview

We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine ...

AAA Global

Machine Learning Researcher

Miami, FL · On-site

AI Scientist | West Palm Beach, FL About Our Client Our client develops and deploys systematic ... Conduct research in Machine Learning to improve multiple aspects of the investment pipeline

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Learning Sciences Researcher information

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$30K

$113.1K

$164.5K

How much do learning sciences researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for learning sciences researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Learning Sciences Researcher jobs?

Cities with the most Learning Sciences Researcher job openings:

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For Learning Sciences Researcher jobs, the most frequently searched job titles are:

Research Scientist/Research Engineer, Reinforcement Learning

Chicago, IL • On-site

Jump Trading
Finance and Insurance • 501 - 1,000 employees
Learn more about Jump Tradingexternal

$200K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Design, evaluate, and optimize reinforcement learning policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking.

  • Partner with trading and research teams to source, integrate, and validate alpha signals within the reinforcement learning framework.

  • Build and maintain systems for storing, processing, and analyzing large volumes of market and signal data, and ensure simulation fidelity against live trading.

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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