Distributed Systems ML Infrastructure Engineer

The Distributed Systems ML Infrastructure Engineer will design and implement core services for a containerized, API-first AI platform, focusing on workflow orchestration, data ingestion, and results management. The role involves working on unrestricted infrastructure, deploying releases into controlled environments, and ensuring platform reliability and performance across various deployment scenarios. This position also requires collaboration on integration and validation of the platform in production settings.

• Medical, Dental & Vision – 100% paid for employees, 75% for dependents
• 401(k) Match – Up to 5% with full vesting after 2 years
• Unlimited PTO – With a required minimum of 15 days off annually
• Fully Remote Setup – Includes up to $3,000 equipment reimbursement
• Continuous Education – Includes up to $500 reimbursement
• Disability & Life Insurance – 100% employer-paid

• Position contingent upon contract award
• Travel of up to 15% may be required, primarily to Government facilities and between company locations
• Unclassified work may be performed remotely, while classified promotion and validation activities require onsite work in an accredited facility and the appropriate security clearance