ML Cloud Infrastructure Engineer

Description: Build and operate infrastructure for training, evaluating, deploying, and monitoring machine learning models. Develop pipelines, services, and integrations for data lakes, telemetry stores, and cloud compute. Requirements: 3+ years in software, infrastructure, or data engineering with ML experience. Strong programming skills in Python; experience with Go, C++, or similar languages preferred. Experience with AWS, Infrastructure as Code, Kubernetes, and containerized environments. Ability to work across engineering disciplines and solve technical problems. U.S. Citizenship and ability to obtain a U.S. Government security clearance. Benefits: 100% employer-paid health, dental, and vision insurance for employees and families. Life insurance (employer paid) and 401k program with matching. Unlimited PTO policy with a minimum of 2 weeks enforced. Equity package and work/home office stipend. 16 weeks paid parental leave and monthly health and wellness stipend.