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Machine Learning Researcher Jobs in Boston, MA (NOW HIRING)

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.

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Conduct research and implement AI agents using large language models (LLMs); * Deploy LLM agents to ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using ...

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:

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:

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:

Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer , you will play a ...

Overview: Draper is an independent, nonprofit research and development company headquartered in ... Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ...

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Showing results 1-20

Machine Learning Researcher information

See Boston, MA salary details

$32.6K

$122.9K

$178.7K

How much do machine learning researcher jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning researcher in Boston, MA is $122,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $167,300.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Boston, MA? The most popular types of Machine Learning Researcher jobs in Boston, MA are:
What are popular job titles related to Machine Learning Researcher jobs in Boston, MA? For Machine Learning Researcher jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Machine Learning Researcher jobs? Cities near Boston, MA with the most Machine Learning Researcher job openings:
Infographic showing various Machine Learning Researcher job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,867 per year, or $59.1 per hour.

Machine Learning / Reinforcement Learning Infrastructure Engineer

Eka Robotics

Cambridge, MA • On-site

$118K - $155K/yr

Full-time

Posted 12 days ago


Job description

Job Summary:
Eka Robotics is on a mission to build intelligence for the physical world through advanced robotics. They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and maintain large-scale model training systems that will enhance their robotics research and deployment efforts.
Responsibilities:
• Own Training Infrastructure: Design, implement, and maintain robust systems for large-scale model training, including job orchestration, scheduling, checkpointing, and experiment tracking.
• Developer Experience & Tooling: Build streamlined, intuitive abstractions for launching, monitoring, debugging, and reproducing experiments, minimizing friction and maximizing productivity for our research teams.
• Scale Distributed Training: Work closely with researchers to reliably scale reinforcement learning and machine learning pipelines across compute clusters.
• Resource Management: Ensure efficient allocation and utilization of cloud-based compute resources while building the foundational systems needed for future scaling.
• Collaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code.
Qualifications:
Required:
• BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field.
• Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems.
• Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow.
• Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
• Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience.
• Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks.
Preferred:
• Background in robotics, reinforcement learning or other machine learning systems.
• Experience designing abstractions that balance researcher flexibility with system reliability.
Company:
Founded in , the company is headquartered in Cambridge, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.