Back to search

Machine Learning Engineer

STR · Woburn, MA · STR Intelligence Division

Compensation

$115k – $140k /yr

Employment type

Full-time

Work setting

On-site

Location

Woburn, MA

Schedule

Day shift

Posted

Apply for this job

You'll be redirected to the employer's application page.

Job overview

The Machine Learning Engineer role is primarily onsite in Woburn, MA, with Arlington, VA also listed as a possible work location. The annual salary range is $115,000–$140,000. STR’s Intelligence Division develops analytics and machine-learning solutions for national security missions. The engineer develops and integrates AI/ML models into production systems, analyzes varied datasets for patterns, and helps turn prototypes into scalable services and user-facing tools. The work supports intelligence analysts and operators through collaboration with researchers, engineers, domain experts, and customers.

What you'll do

  • Analyze large datasets to identify patterns
  • develop and evaluate AI/ML models
  • collaborate on production deployments
  • support backend services, scalable APIs, and user interfaces
  • work with customers to understand mission needs and iterate on prototypes.

What we're looking for

Skills & competencies
machine learning engineer
ai/ml
python
data science
production systems
backend services
scalable apis
user interfaces
national security
woburn ma
arlington va
str
$115k–$140k/year
Work arrangement
  • Weekend coverage required

Why this role

Work spans social media, text, time-series, geospatial, and imagery data, with deployment across cloud, on-premises, desktop, mobile, and edge platforms.

About the employer

STR is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.

Additional details

Industry sector
54
Industry
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Occupation code
15-2051.00
Apply for this job

You'll be redirected to the employer's application page.

Browse more jobs

Listing ID: de55f473-dd86-4d1c-8872-1025a9d04480