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Research Assistant Machine Learning Jobs in Revere, MA

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Stay current on research and apply state-of-the-art techniques in autonomy and perception.

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

Master's or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific ... Research experience in causal reasoning, probabilistic programming, or symbolic AI. * Familiarity ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions. * Documentation:

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions. * Documentation:

Crowe LLP

Machine Learning Intern

Boston, MA

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will ...

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How much do research assistant machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for research assistant machine learning in Revere, MA is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $26.20 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What job categories do people searching Research Assistant Machine Learning jobs in Revere, MA look for?

The top searched job categories for Research Assistant Machine Learning jobs in Revere, MA are:

What cities near Revere, MA are hiring for Research Assistant Machine Learning jobs?

Cities near Revere, MA with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Revere, MA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,857 per year, or $22.5 per hour.

Machine Learning Engineer - Computational Drug Discovery

4:59 NewCo, a 5AM Ventures Company

Watertown, MA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
4:59 NewCo, a 5AM Ventures Company, is focused on developing a pipeline of small molecules to address unmet clinical needs. The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Responsibilities:
• Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
• Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
• Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
• Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
• Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
• Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
• Hands-on experience developing machine learning systems using PyTorch
• Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
• Ability to communicate effectively with scientific collaborators from non-programming backgrounds
• Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
• We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred:
• Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
• Familiarity with LLM tooling, AI agents, or agent development frameworks
• Background in cheminformatics, computational biology, bioinformatics, or related fields
• Experience working in a startup, research, or other highly iterative technical environment
Company:
4:59 is a hands-on internal effort of 5AM Ventures to discover, incubate, and fund breakthrough science. Founded in , the company is headquartered in Boston, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.

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