Назад
Company hidden
2 дня назад

Machine Learning Researcher (LLMs)

160 000 - 800 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior/middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Machine Learning Researcher (LLMs) (AI hardware and distributed systems): Training and optimizing large language models for specialized hardware, building distributed infrastructure for training and inference, and contributing to hardware architecture through ML experimentation. Focus on reinforcement learning, quantization, attention and long-context methods, distributed codebases, numerical validation, and ML–hardware co-design.

Location: Mountain View, United States, with remote work on Mondays and Fridays; office attendance required Tuesdays–Thursdays. All candidates must be authorized to work in the United States. The role involves access to information subject to U.S. export controls.

Salary: $160,000–$300,000 for early-career candidates, $180,000–$425,000 for mid-career candidates, or $250,000–$800,000 for senior-career candidates, plus equity.

Company

Develops vertically integrated hardware and software systems for training and running large machine-learning workloads and improving AI model efficiency.

What you will do

  • Train and optimize large language models for specialized hardware.
  • Run quality evaluations and validate numerical results with other teams.
  • Build and configure distributed infrastructure for model training and inference.
  • Advise on hardware architecture from a machine-learning perspective.
  • Co-design hardware through ML experimentation and RTL prototypes.

Requirements

  • Strong research track record in LLMs, demonstrated through publications and/or shipped or open-sourced research.
  • PhD or equivalent experience.
  • Deep expertise in at least one area: reinforcement learning, quantization, or attention and architecture, including long-context methods.
  • Excellent software engineering skills, including building and scaling distributed training and inference codebases.
  • Authorization to work in the United States.
  • Ability to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.

Nice to have

  • Experience with inference or training optimization.
  • Experience with ML–hardware co-design.
  • Experience with model evaluations.

Culture & Benefits

  • Hybrid schedule with remote work on Mondays and Fridays, home-office setup support, and internet reimbursement.
  • Four weeks of accrued paid time off, 12 company holidays, and up to three weeks of remote or flexible work per year.
  • Company-subsidized medical, dental, vision, life, disability, mental-health, HSA, and FSA benefits.
  • 401(k) or Roth IRA options with a 5% company contribution, plus commute support and onsite team meals.
  • Up to 12 weeks of paid parental leave, pregnancy disability leave, flexible return-to-work hours, and a $6,000 family fund.
  • $1,500 annual professional-development budget, $50 monthly flexible perk allowance, and up to $1,000 for office setup purchases.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →