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Ml Research Jobs (NOW HIRING)

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

The ML Research Engineer will collaborate with various teams to build and optimize a framework for large language model training and inference, enabling cutting-edge research and development in the ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

They are seeking an ML Research Engineer to build and optimize their internal distributed framework for large language model training and inference, collaborating closely with various ML teams to ...

Scale AI

ML Research Engineer, ML Systems

Manhattan, NY · On-site

The ML Research Engineer will collaborate with various teams to build and optimize a framework for large language model training and inference, enabling cutting-edge research and development in the ...

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 ...

Scale AI

ML Research Engineer, ML Systems

Manhattan, NY · On-site

The ML Research Engineer will collaborate with various teams to build and optimize a framework for large language model training and inference, enabling cutting-edge research and development in the ...

Heven AeroTech

AI/ML Research Scientist

Sterling, VA · On-site

AI/ML Research Scientist Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don't just believe in the power of people-we build our ...

Heven AeroTech

AI/ML Research Scientist

Sterling, VA · On-site

AI/ML Research Scientist Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don't just believe in the power of people-we build our ...

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 ...

Anysphere

Software Engineer, ML Research

Manhattan, NY

$226K/yr

Software Engineer, ML Research Engineering · Full-time · San Francisco; New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

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 ...

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

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 ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

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 ...

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Ml Research information

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$26K

$108.7K

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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

Seattle, WA • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Scale AI is at the forefront of AI development, providing essential training and evaluation data for machine learning. The ML Research Engineer will collaborate with various teams to build and optimize a framework for large language model training and inference, enabling cutting-edge research and development in the field.
Responsibilities:
• 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
Qualifications:
Required:
• 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 to operate in a cross functional team environment
Preferred:
• 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.
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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