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

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

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... The Fintech Data Science team builds and maintains systems that protect DraftKings and its ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... The Fintech Data Science team builds and maintains systems that protect DraftKings and its ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Machine Learning Analyst

Boston, MA · On-site

$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 ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... Machine Learning Engineer with advanced expertise to lead development of large language models ... CCB provides computational and analytic resources to advance scientific discovery within HMS ...

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Scientific Machine Learning information

See Boston, MA salary details

$15

$34

$56

How much do scientific machine learning jobs pay per hour?

As of Aug 10, 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:
Infographic showing various Scientific Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $71,130 per year, or $34.2 per hour.

Lead Research Scientist - Machine Learning

STR

Woburn, MA • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
STR is a technology company specializing in advanced research and development for defense, intelligence, and national security. As a Lead Research Scientist, you will develop cutting-edge AI/ML algorithms and lead project teams focused on signals exploitation and system resource management, while collaborating with customers to address complex problems.
Responsibilities:
• Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.
• Lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities.
• Participate on and lead project teams, and interact with customers.
• Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for customers.
Qualifications:
Required:
• MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work, collaborate on, and lead multi-disciplinary teams
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government
Preferred:
• Active US government security clearance
• Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
• Experience with self-supervised machine learning
• Expertise working with time series, geospatial, and/or spatio-temporal data
• Experience in intelligence or military-related mission areas
Company:
STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial. Founded in 2010, the company is headquartered in Woburn, USA, with a team of 501-1000 employees. The company is currently Late Stage.