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

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... You will collaborate with our technical and research teams to develop LLM training and deployment ...

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 Engineer

Cambridge, MA · On-site

$90K - $210K/yr

Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE * Conduct experiments and perform rigorous evaluations to assess the effectiveness and ...

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 Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and ...

Machine Learning Systems Engineer

Boston, MA · On-site

$144K - $192K/yr

You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and ...

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.

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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 May 29, 2026, the average yearly pay for machine learning researcher in Boston, MA is $122,874.00, 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 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 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 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 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 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 job categories do people searching Machine Learning Researcher jobs in Boston, MA look for? The top searched job categories for Machine Learning Researcher jobs in Boston, MA 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:
Machine Learning Scientist

Other

Posted 11 days ago


Job description

We are MIT Media Lab spin-off,the pioneer in emotion recognition technology, the next frontier of artificial intelligence. We bringemotional intelligence to the digital world by measuring and analyzing facial expressions of emotion. We are growing our team to improve and expand our core technologies. We hope to help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion. This position is on the Science team, the team tasked with creating and refining our technology. This position is ideal for someone who is a great researcher that will contribute ideas and want to help shape the future of this space.
Responsibilities
  • Apply supervised and semi-supervised machine learning techniques on a variety of problems using our large dataset of spontaneous real-world face data
  • Experiment with deep architectures for the sensing and modeling of emotion
  • Prototype new forms of emotion sensing
  • Contribute to ourcore in-market SDK codebase
  • Other duties as assigned
Qualifications
  • A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas.
  • Demonstrated experience (publications, projects) solving machine learning problems
  • Solid background and experience in "large-scale" machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures
  • Execute ideas effectively and efficiently