ZipRecruiter

Log In

1

Learning Researcher Jobs (NOW HIRING)

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

Perform reinforcement learning research to improve model alignment and capability * Develop and improve our distillation pipeline for training high-quality models from frontier teachers * Train ...

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 ...

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 ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems.

Multicoin

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

Perform reinforcement learning research to improve model alignment and capability * Develop and improve our distillation pipeline for training high‑quality models from frontier teachers * Train ...

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 ...

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 ...

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 ...

Astera Institute

$150K - $300K/yr

The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new architectures for data-efficient and general model induction. This includes bootstrapped program ...

previous page

Showing results 41-60

All JobsEducation JobsBusiness Education JobsCorporate Trainer 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 Sep 11, 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 a learning researcher?

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.

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 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.

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.

More about Learning Researcher jobs

What cities are hiring for Learning Researcher jobs?

Cities with the most Learning Researcher job openings:

What are popular job titles related to Learning Researcher jobs?

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

Learning Researcher jobs near you
Infographic showing various Learning Researcher job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Researcher

San Francisco, CA • On-site

Inference
See more jobs at Inferenceexternal

$250K - $350K/yr

Full-time

Re-posted 7 days ago

Job description

Help us push the boundaries of what's possible in LLM post-training. If you love training models, exploring new architectures, running experiments, and turning research insights into products that ship, we'd love to meet you.
About Inference.net
Inference.net trains and hosts specialized language models for companies who want frontier-quality AI at a fraction of the cost. The models we train match GPT-5 accuracy but are smaller, faster, and up to 90% cheaper. Our platform handles everything end-to-end: distillation, training, evaluation, and planet-scale hosting.
We are a well-funded ten-person team of engineers who work in-person in downtown San Francisco on difficult, high-impact engineering problems. Everyone on the team has been writing code for over 10 years, and has founded and run their own software companies. We are high-agency, adaptable, and collaborative. We value creativity alongside technical prowess and humility. We work hard, and deeply enjoy the work that we do. Most of us are in the office 4 days a week in SF; hybrid works for Bay Area candidates.
About the Role
You will be responsible for conducting research into experimental models, training systems, and modalities to create novel products for our customers. Your work will span from exploring new architectures and learning methods to optimizing latency and efficiency, with the goal of delivering better models to customers.
Your north star is pushing the frontier of what's possible in LLM post-training. You'll explore new techniques, run rigorous experiments, and when something works, help bring it into production with the help of your teammates. This includes training models for customers and running evaluations as part of validating your research. This role reports directly to the founding team. You'll have the autonomy, a large compute budget / GPU reservation, and technical support to explore ambitious ideas and ship the ones that work.
Key Responsibilities
  • Research and experiment with new model architectures to improve quality, efficiency, or capability
  • Explore methods to decrease inference latency and improve serving efficiency
  • Run experiments with new learning methods, including novel approaches to SFT, RLHF, DPO, and other post-training techniques
  • Perform reinforcement learning research to improve model alignment and capability
  • Develop and improve our distillation pipeline for training high-quality models from frontier teachers
  • Train models for clients and run evaluations to validate research findings in production settings
  • Create robust benchmarks and evaluation frameworks that ensure custom models match or exceed frontier performance
  • Stay current with ML research and identify techniques that can improve our platform
  • Collaborate with applied engineers to bring successful research into production systems
  • Document findings and share knowledge with the team

Requirements
  • 3+ years of experience training AI models using PyTorch
  • Deep understanding of transformer architectures, attention mechanisms, and model internals
  • Hands-on experience with post-training LLMs using SFT, RLHF, DPO, or other alignment techniques
  • Experience with LLM-specific training frameworks (e.g., Hugging Face Transformers, DeepSpeed, Megatron, TRL, or similar)
  • Strong experimental methodology, including ability to design, run, and analyze rigorous experiments
  • Track record of implementing ideas from recent ML papers
  • Experience training on NVIDIA GPUs at scale
  • Strong foundation in ML fundamentals: optimization, loss functions, regularization, generalization

Nice-to-Have
  • Publications in ML venues
  • Experience with model distillation or knowledge transfer
  • Experience with LLM speed optimization techniques
  • Familiarity with vision encoders, multimodal models, or other modalities
  • Experience with distributed training and infrastructure at scale
  • Contributions to open-source ML projects

You don't need to tick every box. Curiosity and the ability to learn quickly matter more.
Compensation
We offer competitive compensation, equity in a high-growth startup, and comprehensive benefits. The base salary range for this role is $250,000 - $350,000, plus equity and benefits, depending on experience.
Equal Opportunity
Inference.net is an equal opportunity employer. We welcome applicants from all backgrounds and don't discriminate based on race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you're excited about pushing the boundaries of custom AI research, we'd love to hear from you. Please send your resume and GitHub to amar@inference.net and/or here on Ashby.

Apply