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 ...
ML Research Engineer
Cupertino, CA · On-site
... optimization Research experience in ML model design Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms Experience with distributed training, large-scale data ...
ML Research Engineer
Cupertino, CA · On-site
... optimization Research experience in ML model design Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms Experience with distributed training, large-scale data ...
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 ...
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 ...
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 ...
ML Research Scientist
Austin, TX · On-site
SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory ...
ML Research Scientist
Austin, TX · On-site
SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory ...
ML Research Engineer
$184K - $324K/yr
... optimization Research experience in ML model design Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms Experience with distributed training, large-scale data ...
ML Research Engineer
$184K - $324K/yr
... optimization Research experience in ML model design Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms Experience with distributed training, large-scale data ...
AI/ML Research Engineer
Boston, MA · On-site
They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...
AI/ML Research Engineer
Boston, MA · On-site
They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...
About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify ...
About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
ML Research Intern
Mountain View, CA · On-site
Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences * Develop and experiment with new models ...
ML Research Intern
Mountain View, CA · On-site
Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences * Develop and experiment with new models ...
AI/ML Research Scientist
Evanston, IL · On-site
The AI/ML Research Scientist leads efforts to develop machine learning for use within a core research infrastructure and prototypes tools, pipelines, and best practices that demonstrate the value of ...
AI/ML Research Scientist
Evanston, IL · On-site
The AI/ML Research Scientist leads efforts to develop machine learning for use within a core research infrastructure and prototypes tools, pipelines, and best practices that demonstrate the value of ...
AI/ML Research Engineer
Boston, MA · On-site
$140K - $225K/yr
Collaborate with research scientists to translate experimental ML approaches into production-ready code * Design and execute ML experiments with clear hypotheses and rigorous analysis * Optimize ...
AI/ML Research Engineer
Boston, MA · On-site
$140K - $225K/yr
Collaborate with research scientists to translate experimental ML approaches into production-ready code * Design and execute ML experiments with clear hypotheses and rigorous analysis * Optimize ...
ML Research Engineer
New York, NY · On-site
$120K - $250K/yr
About the Role As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions ...
ML Research Engineer
New York, NY · On-site
$120K - $250K/yr
About the Role As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions ...
Software Engineer, Foundational ML Research
Manhattan, NY · On-site
$225K/yr
They are seeking a Software Engineer for Foundational ML Research to work on critical projects, focusing on algorithmic approaches and machine learning solutions. Responsibilities : • Prototype and ...
Software Engineer, Foundational ML Research
Manhattan, NY · On-site
$225K/yr
They are seeking a Software Engineer for Foundational ML Research to work on critical projects, focusing on algorithmic approaches and machine learning solutions. Responsibilities : • Prototype and ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model ... The platform has been powering MLEs, researchers, data scientists and operators for fast and ...
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model ... The platform has been powering MLEs, researchers, data scientists and operators for fast and ...
ML/Research Engineer, Safeguards
San Francisco, CA · On-site
$350K - $500K/yr
About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify ...
ML/Research Engineer, Safeguards
San Francisco, CA · On-site
$350K - $500K/yr
About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify ...
Staff, ML Research Scientist
Waltham, MA · On-site
Boston Dynamics is seeking a Staff ML Research Scientist to join their Machine Learning Safety R&D Team. The role involves developing innovative machine learning models and algorithms to ensure ...
Staff, ML Research Scientist
Waltham, MA · On-site
Boston Dynamics is seeking a Staff ML Research Scientist to join their Machine Learning Safety R&D Team. The role involves developing innovative machine learning models and algorithms to ensure ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
AI/ML Research Engineer
Boston, MA · On-site
... with research scientists to translate experimental ML approaches into production-ready code • Design and execute ML experiments with clear hypotheses and rigorous analysis • Optimize model ...
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model ... The platform has been powering MLEs, researchers, data scientists and operators for fast and ...
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model ... The platform has been powering MLEs, researchers, data scientists and operators for fast and ...
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 Jul 27, 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 a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence research or development, often involving senior roles such as AI research scientists, machine learning directors, or executive positions. These roles usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in the organization.
What jobs pay $500,000 a year in the US?
In the field of machine learning research, senior roles such as lead researchers or principal scientists at large tech companies can earn $500,000 or more annually, especially with bonuses and stock options. High-level data scientists and AI specialists with extensive experience and advanced skills in deep learning, neural networks, and cloud platforms may also reach this compensation level. Such roles typically require advanced degrees, strong publication records, and a track record of impactful projects.
What are ML Researchers?
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 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 utilize tools such as TensorFlow or PyTorch to create and test new methods in artificial intelligence. Their work typically involves experimentation, analysis, and publishing findings to advance the field.
How much do ML research scientists make?
ML research scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at leading tech companies can offer higher compensation, often including bonuses and stock options. Strong skills in deep learning, programming, and data analysis are highly valued in this field.
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:
Scale AI rating
8.5
Based on 9 frontline employees who took The Breakroom Quiz
78th of 245 rated software companies
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.
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.
About Scale AI
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016