Senior AI/ML Engineer at Sigma Computing

Candidates should have over 10 years of experience building and deploying production-grade AI/ML systems, with deep knowledge of machine learning, deep learning, and applied AI. Experience across the full ML lifecycle, including data curation, training, deployment, and monitoring, is essential. A proven track record of shipping complex AI features such as recommendations, search, or machine translation is required, along with experience adapting or training foundation models for novel domains. Bonus points for experience building agents that can plan, reason, and use tools, knowledge of cloud infrastructure (AWS, GCP, Azure), and experience in a fast-moving startup or high-growth environment.