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Machine Learning Research Scientist Jobs in Massachusetts

STR

Lead Research Scientist - Machine Learning

Woburn, MA

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

1910

AI Research Scientist III

Boston, MA · On-site

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an ... Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ...

1910 Genetics

AI Research Scientist III

Boston, MA · On-site

AI Research Scientist III Boston, MA We are the only AI-native biotech, pioneering small and large ... Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ...

1910 Genetics

AI Research Scientist III

Boston, MA · On-site

AI Research Scientist III Boston, MA We are the only AI-native biotech, pioneering small and large ... Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ...

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Machine Learning Research Scientist information

See Massachusetts salary details

$55.2K

$142.1K

$190K

How much do machine learning research scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning research scientist in Massachusetts is $142,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $188,900.00 per year, depending on experience, location, and employer.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Massachusetts?

The most popular types of Machine Learning Research Scientist jobs in Massachusetts are:

What are popular job titles related to Machine Learning Research Scientist jobs in Massachusetts?

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

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

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

Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist 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, with an average salary of $142,104 per year, or $68.3 per hour.

Lead Research Scientist - Machine Learning

STR

Woburn, MA

$174K - $220K/yr

Full-time

Re-posted 2 days ago

Job description

About the Team

STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Lead Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will 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. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • 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

Even better:

  • 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

Pay Information
Full-Time Salary Range: $174,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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