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Ml Research Jobs (NOW HIRING)

Anthropic

ML/Research Engineer, Safeguards

San Francisco, CA · On-site

$350K - $500K/yr

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 ...

Noblis

AI/ML Research Scientist

Reston, VA · On-site

Pursue research in AI/ML and GenAI model generalization, training efficiency, explainability, and stability. * Collaborate with domain scientists (physics, biology, medical imaging, and others) to ...

Bostondynamics

Staff, ML Research Scientist

Waltham, MA

$154K - $192K/yr

As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...

Boston Dynamics

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...

Peraton

Cyber AI/ML Research Scientist

Basking Ridge, NJ · On-site

$112K - $179K/yr

Responsibilities Peraton Labs is seeking a self-motivated Cyber AI/ML Research Scientist with a strong foundation in cybersecurity technologies, computer networks, and AI/ML to help design and ...

OpenAI

Recruiter, AI/ML Research

San Francisco, CA · On-site

$216K - $240K/yr

Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. * Use market insights and candidate signals ...

SambaNova

ML Features Solutions Engineer

Austin, TX · On-site

$81K - $109K/yr

The ML Features Solutions Engineer will focus on the development and optimization of core ML features for enterprise deployment, bridging the gap between ML research and product engineering to ...

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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 Jun 15, 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 are ML Researchers?

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 ML researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance on specific tasks. They often work with large datasets, use programming languages like Python or R, and utilize tools such as TensorFlow or PyTorch to design, test, and refine models for applications like image recognition, natural language processing, or predictive analytics.

What job makes $10,000 a month without a degree?

In the field of machine learning research, high-paying roles typically require advanced degrees; however, some related jobs like data scientist or AI engineer can reach or exceed $10,000 per month with strong skills, experience, and proficiency in programming, statistics, and tools like Python or TensorFlow. Self-taught professionals who build a solid portfolio and gain industry experience may achieve high earnings without formal degrees.

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 a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI research directors, chief AI officers, or senior machine learning executives, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced degrees, and expertise in areas like deep learning, natural language processing, or computer vision, along with leadership skills and strategic responsibilities.

What jobs in the US pay 300,000 a year?

In the field of machine learning research, senior roles such as Lead ML Scientist, ML Director, or Principal Research Scientist often have salaries exceeding $300,000 annually, especially with extensive experience, advanced degrees, and expertise in deep learning, natural language processing, or computer vision. These positions typically require strong programming skills, a Ph.D., and a track record of published research or successful product development.

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.

More about Ml Research jobs
What cities are hiring for Ml Research jobs? Cities with the most Ml Research job openings:
What are the most commonly searched types of Ml Research jobs? The most popular types of Ml Research jobs are:
What states have the most Ml Research jobs? States with the most job openings for Ml Research jobs include:
What job categories do people searching Ml Research jobs look for? The top searched job categories for Ml Research jobs are:
Ml Research jobs near you
Infographic showing various Ml Research job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $108,688 per year, or $52.3 per hour.
ML Research Engineer, ML Systems

ML Research Engineer, ML Systems

Scale AI, Inc.

Manhattan, NY

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:
  • Build, profile and optimize our training and inference framework
  • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
  • Research and integrate state-of-the-art technologies to optimize our ML system
Ideally you'd have:
  • Strong excitement about system optimization
  • Experience with multi-node LLM training and inference
  • Experience with developing large-scale distributed ML systems
  • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
  • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment
Nice to haves:
  • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$189,600—$237,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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