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

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Modulate

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 aligned with business priorities and product needs * Help grow team capability through hiring ...

Modulate

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 aligned with business priorities and product needs * Help grow team capability through hiring ...

IMC Inc

Machine Learning Engineer

Dorchester, MA

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Modulate

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 aligned with business priorities and product needs * Help grow team capability through hiring ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

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 ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data. * Develop machine learning applications according to ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site

$161K/yr

Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data. * Develop machine learning applications according to ...

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Showing results 1-20

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Boston, MA

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 Jun 19, 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 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 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 Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Boston, MA as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,874 per year, or $59.1 per hour.

Junior Machine Learning Researcher

Straumann

Andover, MA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Straumann rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

289th of 418 rated machine equipment manufacturers

Job description


Machine Learning Researcher

POSITION OVERVIEW

The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features.

Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.

KEY RESPONSIBILITIES

Machine Learning Research & Development

  • Define machine learning and data science requirements for new product features and capabilities.
  • Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
  • Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
  • Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
  • Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
  • Design and implement efficient algorithms and data structures for model training and inference.

Data & Engineering Collaboration

  • Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
  • Define data requirements for training, validation, and performance evaluation.
  • Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
  • Support the integration of machine learning solutions into commercial software products.

Innovation & Intellectual Property

  • Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
  • Assess emerging technologies and recommend opportunities for application within product development.
  • Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
  • Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.

Quality & Compliance

  • Ensure development activities align with applicable quality management systems and medical device regulations.
  • Support documentation and validation activities required for regulated software products.

REQUIRED QUALIFICATIONS

  • Bachelor's or master's degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
  • Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
  • Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
  • Proficiency in Python and machine learning development workflows.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with software development and best practices, including source control systems (e.g., Git).
  • Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
  • Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
  • Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

  • Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
  • Experience working with medical imaging, computer vision, or image segmentation technologies.
  • Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
  • Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
  • Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.

COMPETENCIES

  • Scientific curiosity and innovation mindset.
  • Strong quantitative reasoning and statistical thinking.
  • Creative and practical problem-solving abilities.
  • Attention to detail and commitment to quality.
  • Self-motivated and capable of working independently.
  • Effective collaboration and stakeholder communication skills.
  • Continuous learning orientation.

WORKING CONDITIONS

  • Primarily remote position with occasional travel as required.
  • Collaboration with global cross-functional teams across multiple time zones.
  • Participation in research, product development, and innovation initiatives supporting digital dentistry solutions.

EDUCATION

Required:

  • Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a related STEM discipline.

Preferred:

  • Master's degree or PhD with a concentration in Machine Learning, Artificial Intelligence, Computer Vision, or Data Science.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type:Full Time

Alternative Locations:United States : Andover (MA)

TravelPercentage:0 - 10%

Requisition ID: 21283

Employment Type: FULL_TIME

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