Lead ML Infrastructure Researcher (Photonic AI)

Lightmatter; Mountain View (CA); Hybrid; USD 300,000 - 350,000; Full time

Benefits offered by this job

Retirement Savings Matching Program

Life Insurance

Generous Time Off

Paid Family Leave

Short Term & Long Term Disability

Training & Development

Equity grants

Job summary

A leading technology company in California is seeking a Principal Machine Learning Infrastructure Researcher to join their innovative team. This role involves developing novel hardware systems and researching performance modeling for advanced AI workloads. The ideal candidate will have a PhD in Computer Science or related fields, at least 10 years of experience, and a proven publication track record. The position offers competitive compensation between $300,000 and $350,000, along with a comprehensive benefits package including remote work flexibility.

Qualifications

• At least 10 years of industry or research experience in machine learning.
• Strong publication record in academic journals and industry conferences.
• Extensive knowledge of performance modeling for AI systems.

Responsibilities

• Stay updated on the latest advancements in Machine Learning research.
• Build tools for modeling performance of AI systems in training and inference.
• Collaborate with product teams to design reference platforms.

Skills

Machine Learning systems research

Performance evaluation

Deep learning methods

AI systems knowledge

Creative problem-solving

Education

PhD in Computer Science or Electrical Engineering

Tools

GPUs

TPUs

Ethernet technologies

Job description

A leading technology company in California is seeking a Principal Machine Learning Infrastructure Researcher to join their innovative team. This role involves developing novel hardware systems and researching performance modeling for advanced AI workloads. The ideal candidate will have a PhD in Computer Science or related fields, at least 10 years of experience, and a proven publication track record. The position offers competitive compensation between $300,000 and $350,000, along with a comprehensive benefits package including remote work flexibility.