Job description
Job details
- Location: Fair Oaks, Fairfax County
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: USD 180,000 - 250,000 per year
Role overview
Riverside Research Institute is seeking a Technical Lead Software Engineer specializing in machine learning to join their national security research team in Fair Oaks, Fairfax County. This Lead-level position offers the opportunity to work on cutting-edge AI and machine learning projects that address critical national security challenges. The role requires U.S. Citizenship and offers a competitive salary range of 250,000 USD.
Job details
This is a Full-time, Onsite position located in Fair Oaks, Fairfax County, Virginia. As a Technical Lead Software Engineer, you will guide machine learning initiatives for a nonprofit research institute dedicated to solving the country's most challenging technical problems. The role combines technical leadership with hands-on development in AI/ML systems, requiring both deep technical expertise and the ability to lead engineering teams on complex national security projects.
Responsibilities
- Lead machine learning engineering teams on national security research projects
- Design and implement cutting-edge AI/ML solutions for complex technical challenges
- Provide technical direction and architecture guidance for ML systems
- Collaborate with research teams to prototype advanced ML solutions
- Mentor software engineers and establish ML engineering best practices
Requirements
- U.S. Citizenship required for national security clearance
- 7-10 years of software engineering experience with ML focus
- Strong expertise in machine learning frameworks and Python development
- Proven technical leadership experience on complex engineering projects
- Experience with research and development in AI/ML domains
- Ability to work on-site in Fair Oaks, Fairfax County
Benefits
- Competitive salary $180,000-$250,000 USD
- Work on cutting-edge national security projects
- Research-focused nonprofit environment
- Opportunity to solve challenging technical problems