OpenAI에서 데이터 사이언티스트를 채용합니다. 인프라 데이터 과학 분야에서 5년 이상의 경력이 필수이며, Python과 SQL을 활용한 통계 및 예측 모델링 역량이 요구됩니다. GPU 인프라 효율화와 수요 예측을 통해 대규모 AI 컴퓨팅 환경을 최적화하는 역할을 수행합니다. 통계적 추론과 실험 설계에 능숙한 전문가를 찾습니다.
OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models.
We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience.
You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments.
Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency.
Develop forecasting models for inference demand across products, regions, and model families.
Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities.
Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies.
Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs.
Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions.
Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps.
Communicate technical findings clearly to both engineering teams and executive leadership.
MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience).
5+ years of experience working in the infrastructure data science space.
Strong expertise in Python and SQL.
Experience building forecasting, optimization, or predictive models.
Strong understanding of experimentation, statistical inference, and causal analysis.
Experience communicating analytical insights to executive stakeholders.
Capacity planning
Distributed systems
AI infrastructure
Datacenter design and buildout
Queueing theory
Time-series forecasting
Operations research
Supply-demand modeling
Reinforcement learning for resource allocation
Cost optimization
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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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