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Ml Researcher 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

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 ...

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 ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate. Qualifications * Educational Background & Experience:

JP Morgan Chase

Applied AI ML Researcher Lead

Palo Alto, CA · On-site +1

$191K/yr

You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology ...

New

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 ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and ...

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 ...

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All JobsMl Researcher Jobs

Ml Researcher information

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$30K

$113.1K

$164.5K

How much do ml researcher jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ml 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 the difference between Ml Researcher vs Data Scientist?

AspectML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, academiaCorporate sectors, finance, healthcare, marketing
Common Search & ComparisonYesYes

While both roles involve working with data and algorithms, ML Researchers focus on developing new machine learning models and advancing AI research, often in academic or research settings. Data Scientists analyze data to derive insights and support business decisions, typically working in industry environments. Understanding these differences helps clarify career paths and job expectations.

What are some common challenges ML Researchers face when transitioning from academia to industry roles?

ML Researchers often find that transitioning from academia to industry involves adjusting to faster project timelines, a greater focus on practical applications, and more collaborative, cross-functional teams. Unlike academic research, industry roles typically require aligning research objectives with business goals and demonstrating clear value through measurable outcomes. Additionally, researchers may need to adapt to using large-scale production data, deploying models, and maintaining solutions in real-world environments. Embracing agile methodologies and effective communication with stakeholders from diverse backgrounds are key to overcoming these challenges.

What are ML Researchers?

ML Researchers, or Machine Learning Researchers, are professionals who develop new algorithms, models, and techniques in the field of machine learning. They work on advancing the theoretical foundations of AI, as well as creating practical applications for industries such as healthcare, finance, and technology. Their work often involves designing experiments, analyzing large datasets, and publishing findings in academic journals or conferences. ML Researchers collaborate with engineers and data scientists to move innovations from theory to real-world solutions.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need a solid background in mathematics, statistics, programming (typically Python), and a relevant advanced degree such as a Master's or Ph.D. in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and experience with large datasets and cloud computing platforms are commonly required. Strong problem-solving abilities, creativity, and effective communication are vital soft skills for innovating and sharing complex ideas. These skills and qualities enable researchers to advance the state of the art, collaborate effectively, and translate research into practical applications.
More about Ml Researcher jobs
What cities are hiring for Ml Researcher jobs? Cities with the most Ml Researcher job openings:
What are the most commonly searched types of Ml Researcher jobs? The most popular types of Ml Researcher jobs are:
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Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
ML Research Engineer, ML Systems

ML Research Engineer, ML Systems

Scale AI

San Francisco, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Scale AI is a company focused on developing reliable AI systems for critical decisions. They are seeking an ML Research Engineer to build and optimize their internal distributed framework for large language model training and inference, collaborating with various ML teams and researchers.
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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