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Ml Research Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

SEMRON

ML Research Scientist

Austin, TX · On-site

SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

The ML Research Engineer will build and optimize the internal distributed framework for large language model training and inference, collaborating with various ML teams to support research and ...

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145/hour Location: Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...

Theorem

ML Research Engineer

San Francisco, CA · On-site

They are seeking an ML Research Engineer to develop software correctness feedback systems that improve program analysis and formal reasoning capabilities in AI models. Responsibilities : • Post ...

Peraton

AI/ML Research Scientist

Basking Ridge, NJ · On-site

$135K - $216K/yr

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Theorem

ML Research Scientist

San Francisco, CA · On-site

They are seeking an ML Research Scientist to develop software correctness feedback mechanisms that can handle complex code, ensuring reliability and safety in software engineering. Responsibilities ...

Peraton

AI/ML Research Scientist

Basking Ridge, NJ · On-site

$135K - $216K/yr

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with research scientists to translate experimental ML approaches into production-ready code * Design and execute ML experiments with clear hypotheses and rigorous analysis * Optimize ...

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions ...

Peraton

AI/ML Research Scientist

Basking Ridge, NJ

$135K - $216K/yr

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

Anthropic

ML/Research Engineer, Safeguards

San Francisco, CA · On-site

$350K - $500K/yr

  • PTO

About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify ...

Scale AI, Inc.

ML Research Engineer, ML Systems

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model ... The platform has been powering MLEs, researchers, data scientists and operators for fast and ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...

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Ml Research information

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$26K

$108.7K

$185.5K

How much do ml research jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml research in the United States is $108,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who study and develop new algorithms and models in the field of machine learning. They work on advancing the theoretical foundations of machine learning and applying these concepts to solve real-world problems. Their work often involves designing experiments, analyzing data, publishing academic papers, and collaborating with other scientists and engineers. ML Researchers play a crucial role in pushing the boundaries of what artificial intelligence and machine learning can achieve.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They often work with large datasets, use programming languages like Python or R, and may publish findings in academic journals or conferences. Their work supports advancements in artificial intelligence applications across various industries.

How to become a machine learning researcher?

To become a machine learning researcher, typically a candidate needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in programming languages like Python, understanding algorithms, and gaining experience with machine learning frameworks such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field are also important steps.

What are some common challenges faced by professionals in ML research roles and how can they be addressed?

ML Research professionals often encounter challenges such as working with limited or noisy datasets, ensuring reproducibility of experiments, and keeping up with rapid advancements in the field. Collaboration with cross-functional teams, such as data engineers and domain experts, is essential to address data quality issues and validate results. Staying updated through research papers, conferences, and continuous learning helps tackle the evolving technical landscape. Building strong documentation and version control practices also ensures reproducibility and effective teamwork.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as an ML Researcher, you need strong foundations in mathematics, statistics, programming (often Python), and a graduate degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems, and experience with scientific publishing or conference presentations are typically required. Creativity, critical thinking, and effective communication are essential soft skills for generating novel ideas and collaborating within interdisciplinary teams. These skills and qualities are crucial for developing innovative solutions, advancing the field, and successfully translating research into impactful applications.

What is the difference between Ml Research vs Data Scientist?

AspectML ResearchData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech firms, finance, healthcare, e-commerce
Common Search & ComparisonFocuses on developing new algorithms and modelsFocuses on applying data analysis to solve business problems

ML Research and Data Scientist roles share overlapping skills but differ mainly in focus. ML Researchers primarily develop new algorithms and conduct theoretical work, often in research settings. Data Scientists apply existing models to analyze data and generate insights for business decisions. Both roles require strong technical skills, but ML Research emphasizes innovation and experimentation, while Data Science emphasizes practical application and communication of findings.

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Ml Research jobs near you
Infographic showing various Ml Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,688 per year, or $52.3 per hour.

ML Research Intern

Samaya AI

Mountain View, CA

Internship

Re-posted 21 days ago

Job description

Role

We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our product delivers value to one of the most high-stake environments of AI applications - helping financial professionals make knowledge-informed decisions via key techniques such as RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of publishing in top-tier ML and NLP conferences. The intern will collaborate closely with our team of experienced researchers on topics aligned with the company's mission.

This role is ideal for a PhD or advanced Master's student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya's key product roadmap using their research.

Responsibilities
  • Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences
  • Develop and experiment with new models, algorithms, and methodologies to improve AI agents performance in real-world tasks
  • Collaborate with in-house researchers to design, implement, and evaluate novel methods in alignment with the company's mission
  • Present findings internally and externally through research papers and technical talks
Qualifications
  • Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a related field
  • Strong background in deep learning, large language models, and NLP techniques. Deep domain knowledge with RAG, RL and AI agent training and evaluation is a plus
  • A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
  • Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills

Apply