Lead Research Scientist, Machine Learning
Compensation
$174k – $220k /yr
Employment type
Full-time
Work setting
On-site
Location
Boston, MA
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Lead Research Scientist, Machine Learning role is onsite, primarily in Woburn, MA. The stated full-time salary range is $174,000–$220,000 per year. The role supports STR’s Analytics and C2 Division and its Signals Exploitation and Tracking Group, which develops advanced analytics for national security problems. The scientist leads development of AI and machine-learning algorithms for signals exploitation, estimation, resource management, and systems analysis. The role advances novel techniques, contributes to project teams, and communicates with customers to help move research into mature implementations that support mission success.
What you'll do
- Develop machine-learning algorithms and novel techniques
- build and train neural networks
- adapt research approaches to new datasets and problems
- participate in and lead project teams
- interact with customers
- communicate technical foundations to technical and nontechnical audiences.
What we're looking for
- Skills & competencies
- lead research scientistmachine learningwoburn mastrai algorithmsdeep learningsignals exploitationtarget trackingpredictive analyticspythonc/c++security clearancenational security$174k–$220k salary
- Work arrangement
- Weekend coverage required
Why this role
Requires an MS with at least eight years of experience, a PhD with at least five years, or equivalent experience; ability to obtain and maintain a security clearance is required.
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
- 19-1042.00
You'll be redirected to the employer's application page.
Listing ID: 1f764ce1-0851-4fb3-b86d-36c19077cb44