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

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... scientific field such as applied math, physics, electrical engineering, computer science, or data ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... scientific field such as applied math, physics, electrical engineering, computer science, or data ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related field. * Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable ...

STR

Lead Research Scientist - Machine Learning

Boston, MA

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... scientific field such as applied math, physics, electrical engineering, computer science, or data ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

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 ...

Neurable, INC

Machine Learning

Cambridge, MA

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 ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas ... Familiarity with machine learning and statistical modeling fundamentals, including model evaluation ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning. * Background in autonomous ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning. * Background in autonomous ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Boston, MA

Scientific Machine Learning information

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How much do scientific machine learning jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for scientific machine learning in Boston, MA is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $43.61 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

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

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

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

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Boston, MA? For Scientific Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Boston, MA look for? The top searched job categories for Scientific Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Scientific Machine Learning jobs? Cities near Boston, MA with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $71,130 per year, or $34.2 per hour.
Senior Research Scientist, Machine Learning

Senior Research Scientist, Machine Learning

Analog Devices

Boston, MA • On-site

$170K - $216K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

21st of 143 rated electronics manufacturers

Job description

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).
Employer: Analog Devices, Inc.
Job Title: Senior Research Scientist, Machine Learning
Job Requisition: 1010.292.5 / R262485
Job Location: Boston, Massachusetts
Job Type: Full Time
Rate of Pay: $170,445 - $216,000 per year
Duties: Design, implement, and optimize novel Machine Learning ("ML") algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments. Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.
Partial telecommute benefit (up to 2 days/week work from home).
Requirements: Must have a Master's degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
Must also possess the following (quantitative experience requirements not applicable to this section):
  • Demonstrated Expertise ("DE") in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax;
  • DE developing and applying neural networks, deep learning, transformers, and Large Language ML models; and
  • DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R262485.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: No
Shift Type: 1st Shift/Days
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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