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Member Of Technical Staff, Reinforcement Learning Systems (AI)

139 900 - 274 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member Of Technical Staff, Reinforcement Learning Systems (AI): Designing, developing, and operating large-scale reinforcement learning systems that power use cases across the Superintelligence team with an accent on training trustworthy agents and powerful reasoning models. Focus on bridging the gap between cutting-edge research and robust, production-grade distributed systems, and solving scientific and research challenges.

Location: Mountain View, CA. Starting January 26, 2026, employees are expected to work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: USD $139,900 – $331,200 per year.

Company

hirify.global AI is dedicated to advancing Copilot and other consumer AI products and research.

What you will do

  • Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
  • Benchmark GB200 and AMD MIxxx GPU clusters.
  • Gather data and insights to develop the pretraining compute roadmap.
  • Actively contribute to the development of AI models that are powering our innovative products.
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Requirements

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Experience with generative AI.
  • Experience with distributed computing.
  • Experience in leading technical projects and supporting architectural decisions with data.

Culture & Benefits

  • Be a part of the team shaping the future of personal computing.
  • Work on our next generation of models.

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