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Machine Learning Research Scientist Jobs (NOW HIRING)

LLNL

Machine Learning Research Engineer

Livermore, CA

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

ISEE

Research Scientist - Machine Learning

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

LLNL

Machine Learning Research Engineer

Livermore, CA · On-site

$146K - $222K/yr

This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate. Essential Duties * Research, develop, implement, and evaluate new machine learning ...

SmarterDx

Staff Machine Learning Research Scientist

$220K - $260K/yr

As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You'll work at the ...

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Machine Learning Research Scientist Location: Hybrid - SOLU,Seattle, WA) Compensation: $190-230k base comp, + start up equity Our Seattle based client, a fastgrowing earlystage team, is seeking a ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

This role involves developing advanced algorithms, optimizing research processes, and mentoring ... Science, Machine Learning, Statistics or a related discipline • Proven track record of impactful ...

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$50.5K

$130.1K

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

As of Jun 6, 2026, the average yearly pay for machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

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Machine Learning Research Scientist jobs near you
Senior / Staff Machine Learning Research Scientist, Agents

Senior / Staff Machine Learning Research Scientist, Agents

Scale AI

Seattle, WA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The role of Senior / Staff Machine Learning Research Scientist involves researching agent environments and developing data strategies to advance intelligent AI agents, collaborating with customer researchers and engineering teams to translate research into practical solutions.
Responsibilities:
• Explore the data landscape needed to advance intelligent, adaptable AI agents.
• Guide the data strategy at Scale to drive innovation.
• Contribute to impactful research publications on agents.
• Collaborate with customer researchers.
• Work alongside the engineering team to translate advancements into real-world, scalable solutions.
Qualifications:
Required:
• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally.
Preferred:
• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH.
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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