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Research Assistant Machine Learning Jobs in Boston, MA

Machine Learning Engineer III

Boston, MA · On-site

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do ... Master's degree or foreign equivalent in Operations Research, Data Science, Computer Engineering ...

Machine Learning Engineer III

Boston, MA · On-site +1

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do ... Master's degree or foreign equivalent in Operations Research, Data Science, Computer Engineering ...

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our current methods of identifying brain activity, using novel machine learning ...

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Lead and support Modulate's machine learning research and engineering team * Ensure the team is ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our current methods of identifying brain activity, using novel machine learning ...

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Lead and support Modulate's machine learning research and engineering team * Ensure the team is ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Machine Learning Team Lead

Somerville, MA · On-site

$170K - $210K/yr

Lead and support Modulate's machine learning research and engineering team * Ensure the team is ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Senior Machine Learning Engineer Imagine what you could do here! The people here at Apple don't ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...

CNC and manual machining; and the assembly and testing of custom instrumentation components. * In imaging and microscopy, the Research Assistant may contribute to electron microscopy experiments ...

... research team. The role involves ownership of technical decisions for building and deploying ... machine learning models, requiring a strong background in data engineering and model training.

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Research Assistant Machine Learning information

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

As of Jun 15, 2026, the average hourly pay for research assistant machine learning in Boston, MA is $23.80, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $27.69 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

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 in 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 in the Research Assistant Machine Learning position, and why are they important?

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 are popular job titles related to Research Assistant Machine Learning jobs in Boston, MA? For Research Assistant Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Boston, MA look for? The top searched job categories for Research Assistant Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Research Assistant Machine Learning jobs? Cities near Boston, MA with the most Research Assistant Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Boston, MA • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.