Machine Learning Infrastructure Researcher

Highlights

• Invent novel Passage-powered hardware systems for extreme-scale AI workloads.
• Model performance of light-connected systems on training and inference.
• Publish cutting-edge ML systems research with product and engineering teams.

What they offer

• Comprehensive Health Care Plan (Medical, Dental & Vision)
• Retirement Savings Matching Program
• Life Insurance (Basic, Voluntary & AD&D)
• Generous Time Off (Vacation, Sick & Public Holidays)
• Paid Family Leave
• Short Term & Long Term Disability
• Training & Development
• Commuter Benefits
• Equity grants

Ideal candidate

A creative systems thinker with 10+ years shaping ML infrastructure who thrives in ambiguity, bridges research and product, and loves publishing impactful, first-principles hardware ideas.

Requirements

• PhD in Computer Science, Electrical Engineering, or related field with 10+ years industry or research experience
• Background in Machine Learning systems research with performance evaluation and modeling
• Hands-on experience with machine learning / deep learning and LLM training and inference frameworks
• Academic publications in relevant journals and industry conferences
• Strong knowledge of AI systems including compute and networking technologies and topologies
• Proven track record leading a team to deliver published results