OpenAI
Data Scientist, Inference Capacity Optimization
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 8 days ago · Added 5 days ago
First listed 8 days ago and still open.
Salary
$293,000 to $325,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Role
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.
Key Responsibilities
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.
Qualifications
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.
Preferred Skills
Capacity planning
Distributed systems
AI infrastructure
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
$293,000 to $325,000 · You'll be taken to the employer's careers page.