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Ml Researcher Jobs (NOW HIRING)

Whoop

Staff AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$215K - $260K/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 ...

Whoop

Staff AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$215K - $260K/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 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:

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 9, 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.
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Ml Researcher jobs near you
Staff AI/ML Researcher (Foundation AI)

Staff AI/ML Researcher (Foundation AI)

Whoop

Boston, MA • On-site

$215K - $260K/yr

Full-time

Posted 5 days ago

Job description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Staff Machine Learning Engineer to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
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 engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
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.
  • Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration.
  • Ensure models adhere to WHOOP's standards for ethical, transparent, and privacy-preserving AI.

QUALIFICATIONS:
  • 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).
  • Experience building and scaling large datasets and training large models in mulit-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.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $215,000-$260,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
Learn more about WHOOP.
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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