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 ...
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 ...
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 ...
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 ...
AIML - ML Researcher, AFM
$184K - $324K/yr
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
AIML - ML Researcher, AFM
$184K - $324K/yr
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
AIML - ML Researcher, AFM
$184K - $324K/yr
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
AIML - ML Researcher, AFM
$184K - $324K/yr
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Quick apply
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Principal AI/ML Researcher
Boston, MA · On-site
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Senior Applied ML Researcher - Video Apps
$184K - $324K/yr
We are seeking a Senior Applied ML Researcher to design, train, and deploy state-of-the-art models for visual and audio understanding. You will work on challenging problems at the intersection of ...
Senior Applied ML Researcher - Video Apps
$184K - $324K/yr
We are seeking a Senior Applied ML Researcher to design, train, and deploy state-of-the-art models for visual and audio understanding. You will work on challenging problems at the intersection of ...
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 ...
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 ...
Senior AI/ML Researcher (Foundation AI)
$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 ...
Senior AI/ML Researcher (Foundation AI)
$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 ...
Principal AI/ML Researcher
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
Principal AI/ML Researcher
$270K - $300K/yr
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP's next generation of intelligent, personalized, and health ...
AIML - Senior ML Researcher in Foundation Models, Responsible AI
Cupertino, CA · On-site
$121K - $154K/yr
In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
AIML - Senior ML Researcher in Foundation Models, Responsible AI
Cupertino, CA · On-site
$121K - $154K/yr
In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
Description We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will ...
Description We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will ...
Description We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will ...
Description We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will ...
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 ...
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 ...
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 ...
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 ...
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:
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:
In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
Ml Researcher information
See salary details
$30K - $42.2K
4% of jobs
$42.2K - $54.5K
3% of jobs
$54.5K - $66.7K
18% of jobs
$67K is the 25th percentile. Wages below this are outliers.
$66.7K - $78.9K
9% of jobs
$78.9K - $91.1K
8% of jobs
$91.1K - $103.4K
3% of jobs
$103.4K - $115.6K
3% of jobs
The median wage is $120.2K / yr.
$115.6K - $127.8K
4% of jobs
$127.8K - $140K
3% of jobs
$140K - $152.3K
3% of jobs
$157.1K is the 75th percentile. Wages above this are outliers.
$152.3K - $164.5K
41% of jobs
$30K
$113.1K
$164.5K
How much do ml researcher jobs pay per year?
As of Jul 25, 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?
| Aspect | ML Researcher | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in Computer Science, AI, or related fields | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research labs, academic institutions, R&D departments | Business environments, analytics teams, product development |
| Employer & Industry Usage | Tech companies, research institutions, academia | Corporate sectors, finance, healthcare, marketing |
| Common Search & Comparison | Yes | Yes |
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:
What states have the most Ml Researcher jobs? States with the most job openings for Ml Researcher jobs include:
What job categories do people searching Ml Researcher jobs look for? The top searched job categories for Ml Researcher jobs are:
Full-time
This job post has expired today. Applications are no longer accepted.
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, where you will drive the research, development, and deployment of large-scale multimodal models that enhance WHOOP’s intelligent, personalized health experiences.
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.
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 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, where you will drive the research, development, and deployment of large-scale multimodal models that enhance WHOOP’s intelligent, personalized health experiences.
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.
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.
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