Sr. ML Engineer (MLOps)

📋 Description

• Build and maintain tooling, platforms, and backend services powering ML/AI in production.
• Develop services for model training, inference, deployment, monitoring, and lifecycle stages.
• Create evaluation metrics, testing frameworks, and infra to assess ML/AI systems.
• Develop APIs and production services exposing ML/AI to apps/users.
• Deploy and manage applications across AI/ML software lifecycle components.
• Design scalable, maintainable systems using modern software engineering and MLOps.

🎯 Requirements

• 6+ years deploying ML/AI solutions in production.
• Strong Python and production-quality code skills.
• Experience designing RESTful APIs and production backend services.
• Experience with Protobuf messages and service interfaces.
• Hands-on with Docker and Kubernetes deployment.
• Experience with relational databases and low-latency data stores.

🎁 Benefits

• Salary: Annual base salary range of $143,000–$197,000, placement based on skills, etc.
• Additional compensation: Bonuses and RSUs.
• Healthcare: Medical, dental, vision + FSA/HSA options.
• Insurance: Life and disability insurance.
• Mental health: Coaching and therapy services.
• Retirement: 401(k) with up to a 3% employer match.