MatX's mission is to make the world's best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability. We are developing vertically integrated full-stack solutions from silicon to systems including hardware and software to train and run the largest ML workloads for AGI. We are looking for people who are excited about systems-focused ML research.

Responsibilities include:

Train and optimize LLMs for our hardware
Run quality evaluations
Build and set up distributed infrastructure for training and inference
Advise on the hardware architecture from an ML perspective

Requirements:

Bachelor of Computer Science or equivalent degree by date of employment
Excellent software engineering skills
Experience training and tweaking neural networks, ideally LLMs
Perhaps: experience optimizing neural networks for hardware efficiency, for example regarding FLOPs, memory bandwidth, communication bandwidth, precision, parallel layout, batch sizes

Compensation

The US base salary for this full-time position is $120,000 - $200,000 + equity

Benefits

Commuter stipend available for employees within 60 minutes of the office
401(k) with contribution matching
Health, vision, and dental insurance
Life and AD&D insurance

As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays.

This position requires access to information that is subject to U.S. export controls. This offer of employment is contingent upon the applicants capacity to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.

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