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Ai Ml Research Engineer Jobs (NOW HIRING)

Responsibilities Peraton Labs is seeking a self-motivated AI/ML Research Scientist with a strong ... Engineering, or closely related field * Expertise in machine learning and optimization techniques

Responsibilities Peraton Labs is seeking a self-motivated AI/ML Research Scientist with a strong ... Engineering, or closely related field * Expertise in machine learning and optimization techniques

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 ...

Dynamo AI is dedicated to developing LLMs with a focus on safety, privacy, and responsibility. The ML Research Engineer will own an LLM vertical, generating synthetic data and pushing the boundaries ...

... engineers, and technical scientists working at the frontier of machine learning. This is not a ... Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and ...

... in AI and ML. Assignments may include: * Research on state-of-the-art algorithms in signal ... D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or ...

We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ... Research Engineer, Monetization AI Responsibilities: * Develop and implement large-scale model ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... Stayup-to-date with the latest AI/ML research, tools, and frameworks * Documentsolutions and ...

We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ... Research Engineer, Monetization AI Responsibilities: * Develop and implement large-scale model ...

We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ... Research Engineer, Monetization AI Responsibilities: * Develop and implement large-scale model ...

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Ai Ml Research Engineer information

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$37K

$106K

$142.5K

How much do ai ml research engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai ml research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Ml Research Engineer vs Data Scientist?

AspectAi Ml Research EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience in ML frameworksDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, consulting firms, tech companies
Employer & Industry UsageFocus on developing new AI/ML algorithms and modelsAnalyzing data to inform business decisions and strategies

While both roles involve working with data and machine learning, Ai Ml Research Engineers primarily focus on developing and improving AI algorithms and models, often in research settings. Data Scientists analyze data to extract insights and support decision-making. The roles overlap in skills and tools but differ in their core objectives and work environments.

More about Ai Ml Research Engineer jobs

What cities are hiring for Ai Ml Research Engineer jobs?

Cities with the most Ai Ml Research Engineer job openings:

What states have the most Ai Ml Research Engineer jobs?

States with the most job openings for Ai Ml Research Engineer jobs include:

Infographic showing various Ai Ml Research Engineer 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 $106,012 per year, or $51 per hour.

AI/ML Research Scientist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions.
Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data-including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation's top cyber organizations.
As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory's efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE).
A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems.
Job Description
Associate staff members:
  • Design, program, and architect advanced ML methods.
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics.
  • Publish and present research at premier conferences.
  • Internship Opportunities

The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include:
  • Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI.
  • Applying innovative methods to challenging, real-world problems.
  • Working in a collaborative, team-oriented development environment.

This is an opportunity to apply your skills to some of the most important technical challenges of our time-while learning from and contributing to a world-class research community.
Qualifications
Candidates who possess an M.S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of relevant experience will be considered.
Desired Skills:
  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Advanced AI/ML knowledge - solid graduate-level coursework or equivalent work experience in machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques. Ability to read, evaluate, and implement state-of-the-art research papers.
  • Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.), data-science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented toolkits (e.g., MCP).
  • Operating in a rapid research-to-prototype pipeline - demonstrated ability to take a cutting-edge research concept, design an experimental plan, implement a functional prototype, and iterate based on quantitative evaluation. Experience with benchmark datasets and realistic metrics (e.g. latency, accuracy, robustness) is a plus.
  • Software-engineering best practices - strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Problem-solving & analytical mindset - can decompose novel, ill-defined problems, propose multiple solution paths, and select the most promising approach based on empirical evidence.
  • Detail-oriented, able to multi-task, with the ability to work autonomously with minimal supervision.
  • Effective written and oral communication skills in technical environments, technical reports, internal wiki pages; delivers clear demo presentations and briefings to both technical audience and senior mission stakeholders.
  • Current TS/SCI clearance or willingness to obtain one.

Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42941