Lead Research Scientist - Machine Learning
- Pay
- $174,000 – $220,000 per year
- Location
- Woburn, MA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 8+ years
- Education
- Master's degree
- Listed
- 30 days ago
Skills & highlights for this role
- TS/SCI clearance
- PyTorch
- TensorFlow
- scikit-learn
- Python
- machine learning
- neural networks
Also useful
- JAX
- C++
- self-supervised learning
- estimation theory
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.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe!
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
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.
Equal opportunity and legal notices
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info.
From STR's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Lead Research Scientist - Machine Learning role at STR?
The Lead Research Scientist - Machine Learning posting at STR states compensation of $174,000 – $220,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on STR's official career site.
Where is the Lead Research Scientist - Machine Learning job at STR located?
This Lead Research Scientist - Machine Learning position at STR is located in Woburn, MA (On-site). Always check STR's application page for specific state eligibility or relocation policies.
What qualifications are required for Lead Research Scientist - Machine Learning at STR?
For the Lead Research Scientist - Machine Learning role, STR highlights 8+ years of relevant experience; a master's degree; experience with PyTorch, TensorFlow, scikit-learn, Python, machine learning, neural networks. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Lead Research Scientist - Machine Learning position at STR?
This listing links directly to STR's Greenhouse application page. You can apply directly on STR's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.