Full-Time

ML Training Infrastructure Manager

Reasoning

Confirmed live in the last 24 hours

OpenAI

OpenAI

5,001-10,000 employees

Develops safe and beneficial AI technologies

AI & Machine Learning

Senior, Expert

San Francisco, CA, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Reinforcement Learning
Requirements
  • Proven track record of leading world-class teams in large-scale distributed system design for ML training.
  • Ability to define and translate a broad vision into ambitious, actionable milestones that energize teams; experience in leading, mentoring, and developing high-performing teams.
  • Exceptional ability to build strong, productive partnerships across cross-functional teams.
  • Skilled at navigating diverse perspectives, fostering alignment, and driving innovation to achieve organizational goals.
Responsibilities
  • Manage, mentor, and grow a team of ML infrastructure experts focused on designing and building large-scale systems for reinforcement learning training.
  • Oversee the creation and optimization of distributed systems that handle massive amounts of data, ensuring robust performance and reliability.
  • Collaborate closely with the core reasoning research team to integrate novel approaches and breakthroughs into production pipelines.
  • Define, implement, and maintain best practices for development, deployment, monitoring, and quality assurance across ML training infrastructure.
  • Contribute to and influence the overall technical direction of RL research, prioritizing key infrastructure investments to enable cutting-edge science.
Desired Qualifications
  • Genuine enthusiasm for advancing the frontiers of AI/AGI research.

OpenAI develops artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models that can perform various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the capabilities of their AI systems. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and redistributes excess earnings to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) is developed responsibly. OpenAI serves a wide range of clients, including businesses and researchers, and collaborates with academic institutions and government bodies to address the challenges posed by advanced AI technologies.

Company Stage

Late Stage VC

Total Funding

$18.4B

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

4%

1 year growth

-2%

2 year growth

-8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Retro Biosciences positions OpenAI in the AI-driven healthcare sector.
  • AI-powered TVs with Samsung diversify OpenAI's product offerings.
  • AI video generation enhances OpenAI's appeal in media and entertainment.

What critics are saying

  • Whisper software's AI hallucinations could damage OpenAI's reputation.
  • Policy changes on political impartiality may lead to regulatory scrutiny.
  • Longevity science collaboration may face ethical and regulatory challenges.

What makes OpenAI unique

  • OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
  • Partnerships with companies like Samsung expand OpenAI's reach into consumer electronics.
  • OpenAI's focus on AGI aims to create AI systems smarter than humans.

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Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences