AI Optimization Engineer

Come join a team of doers. We are on a journey to democratize AI and bring value from stranded data.

In this role, you will build machine learning workflows and the infrastructure necessary to productize AI models and sustain them in production. You will work preparing data for machine learning models at scale, building appropriate inference interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI productization platforms.

• Bachelor in computer science or similar field with 7 years of experience or Master's with 5 years of experience.
• Hands-on development with Python.
• Experience working with customers and solving real-life problems

Preferred Qualifications:

• Experience optimizing AI models
• Knowledge of unsupervised learning
• Hands-on experience with LLM, RAG, and Vector DB

For California, Colorado, New York, Washington, and remote roles: The compensation range for this role is $149,020 - $223,560. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.