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ML Training Infrastructure Manager - Reasoning image - Rise Careers
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ML Training Infrastructure Manager - Reasoning

About the Team

The RL team drives the core reasoning paradigm and has created groundbreaking innovations such as O1 and O3. We focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. As the leader of this team, you will help shape the future of reasoning by building new large-scale ML training infrastructure and playing a pivotal role in major research roadmaps and decision-making processes.

About the Role

  • Lead a Higher-Caliber Team: Manage, mentor, and grow a team of ML infrastructure experts focused on designing and building large-scale systems for reinforcement learning training.

  • Architect Scalable Training Platforms: Oversee the creation and optimization of distributed systems that handle massive amounts of data, ensuring robust performance and reliability.

  • Embed with Research: Collaborate closely with the core reasoning research team to integrate novel approaches and breakthroughs into production pipelines.

  • Ensure Operational Excellence: Define, implement, and maintain best practices for development, deployment, monitoring, and quality assurance across ML training infrastructure.

  • Drive Technical Roadmaps: Contribute to and influence the overall technical direction of RL research, prioritizing key infrastructure investments to enable cutting-edge science.

We Are Looking For:

  • Passion for AI and Research: Genuine enthusiasm for advancing the frontiers of AI/AGI research, with a strong desire to help shape the future of reasoning.

  • Technical Expertise: Proven track record of leading world-class teams in large-scale distributed system design for ML training.

  • Leadership: Ability to define and translate a broad vision into ambitious, actionable milestones that energize teams; experience in leading, mentoring, and developing high-performing teams.

  • Collaboration & Communication: 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Average salary estimate

$175000 / YEARLY (est.)
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$200000K

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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Inclusive & Diverse
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 7, 2025

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