Principal Engineer, UAIS

What you'll do

• Build and own production ML and backend systems, tackling high-scale technical challenges.
• Set vertical direction and drive business metrics such as revenue, customers, and market reach.
• Partner with strategic customers and align them with product and business leadership.

What they ask for

• 10+ years building and shipping ML-powered products, with ownership of technology and business results for a significant product area.
• Proven, measurable business growth, such as revenue, adoption, or market expansion.
• Deep expertise in machine learning systems and backend distributed systems.
• Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.

Nice to have

• Experience taking a product or business line from early stage to scale, owning revenue and growth.
• Production-scale GenAI and LLM systems expertise, or experience in an applied AI domain central to UAIS.

Pay

USD $302,000 per year - USD $336,000 per year (base salary, San Francisco, CA); USD $302,000 per year - USD $336,000 per year (base salary, Sunnyvale, CA)

Tools

ML, backend distributed systems, GenAI, LLM systems, agentic RL environments, multimodal and multilingual ML, robotics, audio

AI focus

Build AI data and evaluation infrastructure and production ML systems; lead AI data verticals spanning areas such as physical AI, agentic environments, evaluation, multimodal and multilingual ML, and robotics.