Machine Learning Engineer

📋 Description

• Build scalable ML services for document extraction, visual understanding, and agentic automation
• Deploy and operate services on Kubernetes, contributing to CI/CD, observability, and alerting.
• Own quality and reliability in production by writing clean tested code, building automated tests
• Build product features end to end, from API design and data handling to performance tuning and
• Collaborate with product managers, engineers, designers, and consuming product teams to define

🎯 Requirements

• Master's degree in Computer Science, Machine Learning, or related technical field, with 1 to 3
• Experience in using or critically thinking about integrating AI into work processes.
• Strong software engineering fundamentals: data structures, algorithms, system design, APIs
• Hands-on experience with Docker and Kubernetes.
• Solid understanding of ML fundamentals and LLM/vision-language model integration.
• Understanding of computer vision techniques and ability to evaluate model quality (designing test

🎁 Benefits

• Base pay $158,900 - $178,100
• Equity (when applicable)
• Variable/incentive compensation
• Health plans including flexible spending accounts
• 401(k) plan with company match
• ESPP