ZipRecruiter

Log In

1

Scientific Machine Learning Jobs in Massachusetts

Cellarity

Machine Learning Scientist

Somerville, MA · On-site

Scientific Collaboration * Collaborate with interdisciplinary scientists from biology, chemistry ... apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering ...

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

STR

Lead Research Scientist - Machine Learning

Woburn, 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 ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Work closely with data scientists, clinicians, and software engineers to understand requirements ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Work closely with data scientists, clinicians, and software engineers to understand requirements ...

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

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 ...

previous pagenext page

Showing results 21-40

All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Massachusetts

Scientific Machine Learning information

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 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 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 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 Massachusetts?

For Scientific Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Massachusetts look for?

The top searched job categories for Scientific Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Scientific Machine Learning jobs?

Cities in Massachusetts with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior or Principal Data Scientist/Machine Learning Scientist

Datalign Advisory, Inc.

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago

Job description

Position Overview
We are seeking a Senior or Principal Data Scientist/Machine Learning Scientist to lead product-focused artificial intelligence initiatives and facilitate strategic decision-making through advanced analytics and machine learning. This role requires a proven track record of building and scaling data science products that directly impact user experience and business outcomes.
As Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes.
Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
Key Responsibilities
  • Conduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.
  • Develop and deploy machine learning models for production using robust CI/CD practices in collaboration with software engineers.
  • Identify success metrics and build evaluation frameworks for both model and product performance considering both technical and business requirements.
  • Innovate with the latest generative AI and graph-based machine learning advancements to improve existing processes and develop new products.
  • Contribute to architectural and code reviews to maintain and evolve the health of our technical stack.
  • Collaborate with product management, engineering, and business teams to rapidly identify and test high-impact solutions for business needs.
  • Influence strategic decisions across multiple business areas by clearly communicating complex data in a way that is understandable and actionable for technical and non-technical stakeholders.

Required Qualifications
  • MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
  • MS with 6+ years of industry experience or PhD with 3+
  • Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.
  • Expert-level proficiency in Python, SQL, and distributed computing frameworks.
  • Deep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation
  • Strong background in product analytics, classifiers, recommendation systems, and personalization algorithms
  • Experience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow)
  • Familiarity with A/B testing, product metrics and user behavior analytics

Preferred Qualifications
  • Experience with graph representations/graph neural networks, real-time ML systems and/or matching algorithms.
  • Proficiency in big data technologies (e.g. Spark, Dask, Kafka, Airflow) and cloud architectures.
  • Background in fintech, wealth management, or financial advisory services with an understanding of the regulatory requirements in financial services.
  • Track record of publications in top-tier conferences or journals.
  • Understanding of marketplace dynamics and multi-sided platform optimization.
  • Experience with data monetization and building data products

What We Offer
  • A dynamic, team-centric and supportive environment in the heart of Kendall Square where your work has a direct impact on enhancing financial advisory services.
  • Competitive salary with performance-based bonuses.
  • Comprehensive benefits package including health, dental, and vision insurance, and retirement savings plan
  • Commuting is on us and we will pay for your monthly parking, T Pass or commuter rail pass. We also offer a corporate Bluebike membership.
  • Opportunities for professional growth and development within a rapidly growing company.
  • Weekly lunches catered to the office.
  • Fully stocked kitchen covering all of coffee, tea and snack needs.

Additional Information
  • We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
  • The level of this position can be adjusted based on the candidate's experience.

Apply