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Ml Research Jobs (NOW HIRING)

Theorem

ML Research Scientist

San Francisco, CA · On-site

They are seeking an ML Research Scientist to develop software correctness feedback mechanisms that can handle complex code, ensuring reliability and safety in software engineering. Responsibilities ...

Manifold Bio

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 ...

Peraton

AI/ML Research Scientist

Basking Ridge, NJ · On-site

$135K - $216K/yr

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

Maple AI, Inc

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 ...

Peraton

AI/ML Research Scientist

Basking Ridge, NJ · On-site

$135K - $216K/yr

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

Omnifold

MTS - ML Research Engineer

San Francisco, CA · On-site

$120 - $160/hr

Member of Technical Staff, ML Research Engineer Omnifold trains custom AI models for each customer's supply chain - purpose-built systems that forecast demand, optimize decisions, and adapt ...

Manifold Bio

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 ...

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How much do ml research jobs pay per year?

As of Sep 7, 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 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?

AspectML ResearchData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech firms, finance, healthcare, e-commerce
Common Search & ComparisonFocuses on developing new algorithms and modelsFocuses 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.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong background in computer science, mathematics, or related fields is required, often demonstrated through a relevant bachelor's degree followed by a master's or Ph.D. focusing on machine learning, artificial intelligence, or data science. Developing skills in programming languages like Python, understanding algorithms, and working with tools such as TensorFlow or PyTorch are essential. Gaining research experience through projects, publications, or internships can also improve prospects in this field.

Is ML research a high paying job?

ML research positions are generally well-paid, especially at senior levels or in industry-leading companies, due to the specialized skills and advanced knowledge required. Salaries can vary based on experience, education, location, and the complexity of projects, but they tend to be higher than average for tech roles.
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Ml Research jobs near you
Infographic showing various Ml Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,688 per year, or $52.3 per hour.

ML Research Scientist

Theorem

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Theorem is focused on building products that enhance the future of software by ensuring it is correct, understandable, and secure. They are seeking an ML Research Scientist to develop software correctness feedback mechanisms that can handle complex code, ensuring reliability and safety in software engineering.
Responsibilities:
• Post-training that make models as good at program analysis and formal reasoning as they are at writing Python.
• Interfaces for navigating complex implementations of simple specifications to help users find bugs, generate design documentation, and implement non-functional requirements using compiler-level reasoning methods.
Qualifications:
Required:
• Experience in machine learning and AI
• Strong programming skills, particularly in Python
• Ability to work on large-scale projects
• Experience with program analysis and formal reasoning
• Strong problem-solving skills
• Ability to collaborate and help team members
• Willingness to explore new ideas and technologies
Company:
Theorem is an AI based Software Development firm offering productivity and verification tools for development. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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