Drimva

STR

Lead Research Scientist - Machine Learning

$174K–$220K

Woburn, MA +1 · Full-time · Posted May 6, 2026

Location
Woburn, MA
Woburn, Massachusetts, United States
Experience
MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience).
Education
MS or PhD in a scientific field such as applied math, physics, electrical engineering, computer science, or data science (or equivalent experience).

About the job

Lead research and development of AI/ML algorithms for signals exploitation, estimation, system resource management, and other national security applications.

What you'll do

  • Develop novel AI/ML algorithms and adapt machine learning approaches to new data and problems.
  • Lead and participate in multidisciplinary project teams and interact with customers.
  • Explore datasets and develop algorithmic techniques to solve customer problems.

What they ask for

  • Experience building neural networks with deep learning tools, including architecture implementation, training, tuning, and ablation studies.
  • Experience adapting machine learning approaches to new datasets and problems; experience with standard data science tools.
  • Proficiency in Python or C/C++; ability to collaborate on and lead multidisciplinary teams and communicate technical concepts to varied audiences.
  • Ability to obtain and maintain a security clearance; U.S. citizenship is required by the U.S. government.

Nice to have

  • Active U.S. government security clearance.
  • Experience with deep learning outside images/text, self-supervised learning, time-series or geospatial data, or intelligence/military mission areas.

Pay

$174,000 - $220,000 USD base salary

Tools

PyTorch, JAX, TensorFlow, scikit-learn, Pandas, Matplotlib, Python, C/C++

AI focus

Developing cutting-edge AI/ML algorithms, including neural networks and machine learning methods for signals exploitation, tracking, estimation, predictive analytics, system resource management, and novel data modalities.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)