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Ml Researcher Jobs (NOW HIRING)

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA

$190K - $230K/yr

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML ...

Apply Early

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML ...

Jane Street

Senior Weather Analyst/ML Researcher

New York, NY · On-site

$126K - $127K/yr

We are looking for someone who wants to work on applied research on our weather team, embedded within the commodities trading desk. We invite graduate students nearing graduation, both early career ...

Rivet Industries

Machine Learning Researcher

San Jose, CA · On-site

$150K - $290K/yr

Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in imaging and video processing pipelines for AR/VR applications * Document learnings and define clear ...

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

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 ...

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 ...

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

In the US, senior roles such as machine learning researchers, data scientists, software engineers, and executive positions like CTOs can earn $300,000 or more annually. These roles typically require advanced skills, extensive experience, and often involve working in high-demand industries or specialized environments. Compensation varies based on location, company size, and individual expertise.

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 does a ML 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 stay updated on the latest advancements in AI and deep learning. Their work typically involves designing experiments, analyzing results, and publishing findings to advance the field.

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

In the field of machine learning research, highly experienced professionals or those with specialized skills can earn $10,000 or more per month, especially if working as independent consultants or in high-demand roles. Success typically requires strong expertise in algorithms, programming, and data analysis, often gained through self-education or industry experience rather than formal degrees.

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning researchers or AI executives that offer compensation in this range, often including base salary, bonuses, and stock options. These positions usually require advanced expertise in AI, strong programming skills, and significant industry experience, often within leading tech companies or research institutions.
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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 99% Full Time, and 1% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Senior AI/ML Researcher (Foundation AI)

Senior AI/ML Researcher (Foundation AI)

WHOOP

Boston, MA • On-site

Full-time

Posted 25 days ago

Key responsibilities

  • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.

  • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance core model capabilities.

  • Develop scalable, distributed training pipelines for large models on high-performance compute environments.

Job description

Job Summary:
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. We are seeking a Senior AI Researcher to join our Foundation AI team, focusing on building multimodal foundation models that integrate various data types to enhance WHOOP’s intelligent experiences. The role involves driving research, development, and deployment of large-scale models while collaborating with cross-functional teams.
Responsibilities:
• Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
• Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
• Develop scalable, distributed training pipelines for large models on high-performance compute environments.
• Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
• Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
• Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
• Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
Qualifications:
Required:
• Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
• 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
• Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with training models on multi-node, multi-gpu distributed compute environments.
• Familiarity with best practices for data, model, and context parallelisms.
• Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
• Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
• Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
• Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
• Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
• This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Whoop logo

About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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