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Lead Research Scientist - Machine Learning; clearance Required Software

Job in Woburn, Middlesex County, Massachusetts, 01813, USA
Listing for: jobs.frontdoordefense.com - Jobboard
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 174000 - 220000 USD Yearly USD 174000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Lead Research Scientist - Machine Learning (clearance Required) Software

Lead Research Scientist - Machine Learning (clearance Required)

Location:

Woburn, Massachusetts, United States

Compensation: $174,000 - $220,000 USD / year

About

The Role

Lead the development of AI/ML algorithms for signals exploitation in national security applications.

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 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 advanced algorithmic techniques, and solve high‑impact, unique problems for our customers.

Who

You Are
  • Active Top Secret Clearance Required with SCI eligibility, for which U.S. citizenship is required.
  • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent) 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, Tensor Flow), 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.
  • Experience in intelligence or military‑related mission areas.
Even Better
  • 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.
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 the candidate’s experience, education, training, key skills, security clearances, and prevailing market and business conditions.

Equal Opportunity Employer

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 appassist and provide your contact info.

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.

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