Principal Machine Learning Infrastructure Researcher

📋 Description

• Stay up to date on the latest advancements in ML research.
• Build tools to model performance of Passage-enabled systems for training/inference.
• Collaborate with product and solutions architecture to design reference platforms.
• Function as the ML expert in the room.
• Publish papers at top industry conferences; support whitepapers and blogs.
• Lead a small team of ML engineers.

🎯 Requirements

• PhD in CS/EE or related field; 10+ years in industry or research.
• Strong ML systems research background with performance evaluation and modeling.
• Hands-on ML/DL methods; knowledge of LLM training and inference frameworks.
• Academic publications in journals and conferences.
• Strong AI systems knowledge: GPUs/TPUs and networking (e.g., NVLink, Infiniband).
• Proven track record leading a team to deliver results.

🎁 Benefits

• Health care plan (Medical, Dental & Vision)
• Retirement matching program
• Life insurance (basic, voluntary, AD&D)
• Generous time off (vacation, sick leave, holidays)
• Paid family leave
• Short/long-term disability