The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the ...
The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Medical
Dental
Vision
Retirement
PTO
As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Medical
Dental
Vision
Retirement
PTO
As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...
Machine Learning Research Engineer
New York, NY · On-site
$224K/yr
PTO
As an AI/ML Applied Research Engineer, you will sit at the cutting-edge intersection of our central machine learning infrastructure and our research teams. Your core mandate is to act as "Customer ...
Machine Learning Research Engineer
New York, NY · On-site
$224K/yr
PTO
As an AI/ML Applied Research Engineer, you will sit at the cutting-edge intersection of our central machine learning infrastructure and our research teams. Your core mandate is to act as "Customer ...
Machine Learning Research Engineer
New York, NY · On-site
$224K/yr
PTO
As an AI/ML Applied Research Engineer, you will sit at the cutting-edge intersection of our central machine learning infrastructure and our research teams. Your core mandate is to act as "Customer ...
New
Machine Learning Research Engineer
New York, NY · On-site
$224K/yr
PTO
As an AI/ML Applied Research Engineer, you will sit at the cutting-edge intersection of our central machine learning infrastructure and our research teams. Your core mandate is to act as "Customer ...
New
The ML Research Scientist will utilize AI and Machine Learning to transform sensor data into personalized health and fitness experiences, collaborating with cross-functional teams to innovate and ...
The ML Research Scientist will utilize AI and Machine Learning to transform sensor data into personalized health and fitness experiences, collaborating with cross-functional teams to innovate and ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Medical
Dental
Vision
Retirement
PTO
As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...
Staff, ML Research Scientist
Waltham, MA · On-site
$154K - $192K/yr
Medical
Dental
Vision
Retirement
PTO
As a Staff ML Research Scientist on the Machine Learning Safety R&D Team , you will join a small cross-functional group developing machine learning models that will enable our robots to operate ...
ML Research Engineer, Foundation Models (Senior / Staff / Principal)
San Mateo, CA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI , we're a tight-knit team of proven deep learning ...
ML Research Engineer, Foundation Models (Senior / Staff / Principal)
San Mateo, CA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI , we're a tight-knit team of proven deep learning ...
Principal AI/ML Research Engineer
Medical
Dental
Vision
Life
Retirement
PTO
Position Summary As a Principal AI/ML Research Engineer, this technical leader will drive applied AI research, novel model development, and algorithmic innovation across generative AI (GenAI), deep ...
Principal AI/ML Research Engineer
Medical
Dental
Vision
Life
Retirement
PTO
Position Summary As a Principal AI/ML Research Engineer, this technical leader will drive applied AI research, novel model development, and algorithmic innovation across generative AI (GenAI), deep ...
Research to Product Bridge: Translate ML research innovations into practical product features and customer-facing capabilities. * Cross-Team Collaboration: Work closely with SDK, testing, and ...
Research to Product Bridge: Translate ML research innovations into practical product features and customer-facing capabilities. * Cross-Team Collaboration: Work closely with SDK, testing, and ...
Software Engineer, ML Research
New York, NY · On-site
$224K/yr
Research Engineer Cursor is building the future of coding. We train frontier coding agents and ... ML #LI-DNI
Software Engineer, ML Research
New York, NY · On-site
$224K/yr
Research Engineer Cursor is building the future of coding. We train frontier coding agents and ... ML #LI-DNI
ML Research Engineer - PhD
San Francisco, CA · Remote
$75 - $90/hr
Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90/hour Location: Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ...
Quick apply
ML Research Engineer - PhD
San Francisco, CA · Remote
$75 - $90/hr
Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90/hour Location: Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ...
Principal AI/ML Research Engineer
California, MO · On-site
$180 - $280/hr
Position Summary As a Principal AI/ML Research Engineer, this technical leader will drive applied AI research, novel model development, and algorithmic innovation across generative AI (GenAI), deep ...
Principal AI/ML Research Engineer
California, MO · On-site
$180 - $280/hr
Position Summary As a Principal AI/ML Research Engineer, this technical leader will drive applied AI research, novel model development, and algorithmic innovation across generative AI (GenAI), deep ...
Recruiter, AI/ML Research
San Francisco, CA · On-site
$216K - $240K/yr
Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. * Use market insights and candidate signals ...
Recruiter, AI/ML Research
San Francisco, CA · On-site
$216K - $240K/yr
Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. * Use market insights and candidate signals ...
ML Research Intern
New York, NY · On-site
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...
ML Research Intern
New York, NY · On-site
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...
AI/ML Research Internship
San Francisco, CA · On-site
Medical
Dental
Vision
Life
PTO
The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...
AI/ML Research Internship
San Francisco, CA · On-site
Medical
Dental
Vision
Life
PTO
The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...
ML Research Resident
Oakland, CA · On-site +1
$15K/mo
Elicit is building a research agent that can use an unlimited amount of test-time compute while ... But unlike typical ML systems that are often trained to do "whatever works", we need improvements ...
ML Research Resident
Oakland, CA · On-site +1
$15K/mo
Elicit is building a research agent that can use an unlimited amount of test-time compute while ... But unlike typical ML systems that are often trained to do "whatever works", we need improvements ...
Research, ML
San Francisco, CA · On-site
$180K - $350K/yr
Medical
Dental
Vision
Research at Exa The ML organization sits at the heart of our mission. We train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly ...
Research, ML
San Francisco, CA · On-site
$180K - $350K/yr
Medical
Dental
Vision
Research at Exa The ML organization sits at the heart of our mission. We train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly ...
ML Features Solutions Engineer
Austin, TX · On-site
$200K - $270K/yr
Medical
Dental
Vision
Life
Research to Product Bridge: Translate ML research innovations into practical product features and customer-facing capabilities. * Cross-Team Collaboration: Work closely with SDK, testing, and ...
ML Features Solutions Engineer
Austin, TX · On-site
$200K - $270K/yr
Medical
Dental
Vision
Life
Research to Product Bridge: Translate ML research innovations into practical product features and customer-facing capabilities. * Cross-Team Collaboration: Work closely with SDK, testing, and ...
AI/ML Research Internship
San Francisco, CA · On-site
Medical
Dental
Vision
Life
PTO
The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...
Quick apply
AI/ML Research Internship
San Francisco, CA · On-site
Medical
Dental
Vision
Life
PTO
The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to ...
This fall/spring internship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research ARL is an authorized DoD SkillBridge partner and welcomes ...
This fall/spring internship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research ARL is an authorized DoD SkillBridge partner and welcomes ...
Ml Research information
See salary details
$26K - $40.5K
13% of jobs
$40.5K - $55K
11% of jobs
$57.9K is the 25th percentile. Wages below this are outliers.
$55K - $69.5K
5% of jobs
$69.5K - $84K
4% of jobs
$84K - $98.5K
4% of jobs
$98.5K - $113K
10% of jobs
The median wage is $114.9K / yr.
$113K - $127.5K
16% of jobs
$139.8K is the 75th percentile. Wages above this are outliers.
$127.5K - $142K
14% of jobs
$142K - $156.5K
11% of jobs
$156.5K - $171K
6% of jobs
$171K - $185.5K
5% of jobs
$26K
$108.7K
$185.5K
How much do ml research jobs pay per year?
As of Aug 14, 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 is an ML researcher?
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 machine learning 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 may publish findings in academic journals or conferences. Their work supports advancements in artificial intelligence applications across various industries.
How to become a machine learning researcher?
To become a machine learning researcher, typically a candidate needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in programming languages like Python, understanding algorithms, and gaining experience with machine learning frameworks such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field are also important steps.
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 the difference between Ml Research vs Data Scientist?
| Aspect | ML Research | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in CS, ML, or related fields | Bachelor's or Master's in CS, Statistics, or related fields |
| Work Environment | Research labs, academia, R&D departments | Business environments, analytics teams, product development |
| Employer & Industry Usage | Tech companies, research institutions, universities | Tech firms, finance, healthcare, e-commerce |
| Common Search & Comparison | Focuses on developing new algorithms and models | Focuses 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:
Other
Posted 14 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the innovative products that define tomorrow's user experiences. Our nimble, collaborative team transforms theoretical breakthroughs into tangible prototypes that help Apple understand where AI could go next, and help the broader ML community build on Apple research.
We're a small team of engineers who blend ML expertise, product intuition, and design sensibility. We learn by building-our prototypes range from novel architectures to complete interactive experiences, whatever best illuminates a research idea. We work at the boundary between what models can do today and what Apple products and the ML community will need tomorrow.
Description
This role spans the full stack of AI development: from training and fine-tuning models, to building the systems that serve them, to crafting the interfaces that let people experience them. You'll iterate rapidly and communicate what you've learned.
We value diverse experiences and unconventional paths-what matters is that you can build, learn, and communicate what you've discovered. We're looking for someone who brings something we don't already have, whether that's a novel technical specialty, an unusual background, or a way of thinking we haven't encountered. If you build things to understand them, we want to hear from you.
Minimum Qualifications
Experience training or fine-tuning ML models (PyTorch, JAX, or MLX)
Strong understanding of ML fundamentals: model architectures, training dynamics, evaluation
Familiarity with current ML research landscape
Experience reading and implementing techniques from ML papers
Proficiency in Python and Swift; experience with C++ or Rust a plus
Track record of building complete, working systems rather than isolated components
Preferred Qualifications
Experience with LLMs: prompting, fine-tuning, RLHF, inference optimization
Experience reproducing results from ML papers
Familiarity with Apple platforms and frameworks (CoreML, Metal, SwiftUI)
Experience building native apps for iOS or macOS
Background in an R&D, research, or prototyping environment
Ability to work on ambiguous problems where the goal is learning, not shipping
Bias toward building-you'd rather make something to test an idea than debate it
Initiative to pursue ideas without waiting for direction
Eye for detail and craft in how you present work
Comfort communicating ML research to diverse technical audiences
Experience presenting at or attending ML conferences (NeurIPS, ICML, etc.)
Interest in AI education or open-source community building
Work you can share: models you have trained, systems you have built, ideas you have explored
We're a small team of engineers who blend ML expertise, product intuition, and design sensibility. We learn by building-our prototypes range from novel architectures to complete interactive experiences, whatever best illuminates a research idea. We work at the boundary between what models can do today and what Apple products and the ML community will need tomorrow.
Description
This role spans the full stack of AI development: from training and fine-tuning models, to building the systems that serve them, to crafting the interfaces that let people experience them. You'll iterate rapidly and communicate what you've learned.
We value diverse experiences and unconventional paths-what matters is that you can build, learn, and communicate what you've discovered. We're looking for someone who brings something we don't already have, whether that's a novel technical specialty, an unusual background, or a way of thinking we haven't encountered. If you build things to understand them, we want to hear from you.
Minimum Qualifications
Experience training or fine-tuning ML models (PyTorch, JAX, or MLX)
Strong understanding of ML fundamentals: model architectures, training dynamics, evaluation
Familiarity with current ML research landscape
Experience reading and implementing techniques from ML papers
Proficiency in Python and Swift; experience with C++ or Rust a plus
Track record of building complete, working systems rather than isolated components
Preferred Qualifications
Experience with LLMs: prompting, fine-tuning, RLHF, inference optimization
Experience reproducing results from ML papers
Familiarity with Apple platforms and frameworks (CoreML, Metal, SwiftUI)
Experience building native apps for iOS or macOS
Background in an R&D, research, or prototyping environment
Ability to work on ambiguous problems where the goal is learning, not shipping
Bias toward building-you'd rather make something to test an idea than debate it
Initiative to pursue ideas without waiting for direction
Eye for detail and craft in how you present work
Comfort communicating ML research to diverse technical audiences
Experience presenting at or attending ML conferences (NeurIPS, ICML, etc.)
Interest in AI education or open-source community building
Work you can share: models you have trained, systems you have built, ideas you have explored
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976