Machine Learning Engineer I (US)

📋 Description

• Partner with Data Science to package models for deployment.
• Implement ML deployment and inference workflows (batch/real-time) with CI/CD guidance.
• Build and maintain API endpoints exposing model predictions.
• Write tests to validate model behavior and release processes.
• Instrument services with logging/metrics and monitor production behavior.
• Improve performance and cost via profiling, batching, and caching.

🎯 Requirements

• Bachelor's or master's degree in Computer Science, Engineering, or related field.
• 1+ years of experience building software in a production environment.
• Proficiency in Python with readable, testable code.
• Familiarity with core ML concepts and at least one ML framework (e.g., PyTorch, TensorFlow, scikit-learn).
• Familiarity with building or consuming APIs (HTTP/JSON) and basic service development patterns.
• Willingness to learn cloud, containerization, and MLOps practices.

🎁 Benefits

• Salary: USD 112,240 – 168,360 per year plus bonus.
• Remote-first with flexible work options.
• Comprehensive benefits: medical, dental, vision, life.
• 401(k) with company match and 16 weeks paid parental leave.
• Monthly All Hands and ongoing learning opportunities.