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Learning Researcher Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Extend

Machine Learning Researcher

New York, NY · On-site

$200K - $350K/yr

As a Machine Learning Engineer at Extend, you'll be responsible for building state-of-the-art ... in AI research, push for real-world customer impact (not only theory), and are excited about ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA · On-site

$140K - $250K/yr

Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we ...

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All JobsLearning Researcher Jobs

Learning Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do learning researcher jobs pay per year?

As of Jul 20, 2026, the average yearly pay for learning 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 is the difference between Learning Researcher vs Learning Specialist?

AspectLearning ResearcherLearning Specialist
Required CredentialsMaster's or PhD in Education, Psychology, or related fieldBachelor's or Master's in Education or related field
Work EnvironmentResearch settings, academic institutions, or corporate R&DClassrooms, training programs, or corporate learning departments
Employer & Industry UsageUniversities, research organizations, edtech companiesSchools, corporate training firms, educational nonprofits
Common Search & ComparisonLearning Researcher vs Learning Specialist

The main difference is that Learning Researchers focus on studying and developing new educational methods through research, often working in academic or research settings. Learning Specialists, on the other hand, implement and support learning strategies directly in educational or corporate environments. Both roles require a background in education or psychology, but their day-to-day tasks and focus areas differ significantly.

How do Learning Researchers typically collaborate with educators and other stakeholders to implement research findings?

Learning Researchers often work closely with educators, instructional designers, and administrators to translate research findings into practical strategies for improving teaching and learning outcomes. This collaboration may involve conducting workshops, presenting data-driven recommendations, and co-developing instructional materials or assessment tools. Effective communication and adaptability are essential, as researchers must tailor their insights to meet the specific needs and contexts of the educational environment. Regular feedback sessions and iterative testing are common practices to ensure that implemented changes are effective and sustainable.

What are Learning Researchers?

Learning Researchers are professionals who study how people learn in order to improve educational methods and outcomes. They investigate the cognitive, social, and technological factors that impact learning, often conducting experiments, collecting data, and analyzing results. Their work informs the development of curricula, teaching strategies, and educational technology. Learning Researchers may work in universities, research institutes, or private organizations, and their findings help shape educational policy and practice.

What are the key skills and qualifications needed to thrive as a Learning Researcher, and why are they important?

To thrive as a Learning Researcher, you need expertise in educational theory, data analysis, and research methodologies, often supported by an advanced degree in education, psychology, or a related field. Familiarity with statistical analysis tools like SPSS or R, as well as learning management systems (LMS), is typically required. Strong critical thinking, communication, and collaboration skills help Learning Researchers effectively interpret findings and work with educators or stakeholders. These skills ensure rigorous, impactful research that advances understanding and practical application in educational settings.
More about Learning Researcher jobs
What cities are hiring for Learning Researcher jobs? Cities with the most Learning Researcher job openings:
What job categories do people searching Learning Researcher jobs look for? The top searched job categories for Learning Researcher jobs are:
Learning Researcher jobs near you
Infographic showing various Learning Researcher job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher

Machine Learning Researcher

Jane Street

New York, NY

Other

Re-posted 7 days ago

Job description

About the position

We're looking for smart and curious individuals to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. 

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.

We'll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches-drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods-to shape the future of ML at Jane Street. You'll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You'll also be hiring new colleagues, attending conferences, and teaching techniques to teammates-all of which we consider to be real and impactful parts of the job.

About you

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills we are looking for, but you should bring:

  • Practical experience working on empirical ML problems
  • An ability to apply logical and mathematical thinking to all kinds of problems
  • Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
  • Fluency with a versatile set of models and tricks 
  • The hands-on coding skills needed to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • An eagerness to ask questions, admit mistakes, and learn new things

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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