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MatX

Machine Learning Researcher

Reposted 13 Days Ago
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In-Office
Mountain View, CA
Mid level
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In-Office
Mountain View, CA
Mid level
The Machine Learning Researcher will optimize and train LLMs, build distributed systems for training/inference, and advise on hardware architecture.
The summary above was generated by AI

What MatX Is Building

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.

What You'll Do Here

  • 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

Who you Are

  • 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 determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.

  • 0-5 years of experience - $120,000 - $200,000 + equity
  • 5-10 years of experience - $120,000 -$300,000 + equity
  • 10+ years experience - $120,000 - $400,000 + equity

What We Offer

  • A Stake in our success A cash/equity mix that fits your needs and option to do early exercise
  • Health & Wellness Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)
  • Time To Recharge 4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year
  • Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood
  • Learning & Development $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities
  • Team Connection Team Lunches, quarterly off-sites, and regular town halls
  • Financial Wellbeing 401K and/or Roth IRA, with 5% company contribution, even if you don’t!
  • Flexible Spending Accounts Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses
  • Commute On Us For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!
  • MatX E[x]tras $50 per month to use on the perks you care about most
  • Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi expense reimbursement

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.

Top Skills

AI
Distributed Infrastructure
Machine Learning
Neural Networks

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