Top 99 Lead principal machine learning engineer Jobs in San Francisco, Ca

Performance Modeling Lead
OpenAI —San Francisco, CA
- $293,000 - $385,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Analysis skills
- Relocation assistance
Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors
Zoox —Foster City, CA
- $324,000 - $492,000 a year
- Email
- Hybrid work
- Computer Science
- Bachelor of Science
- C++
- Disability insurance
- Health insurance
Quick Apply
Staff/Principal Machine Learning Engineer
Epia Neuro —Alameda, CA
- $200,000 - $315,000 a year
- Full-time
- Hybrid work
- System design
- Office
- C++
- Paid parental leave
- Health insurance
Quick Apply
1d
Senior/Principal Machine Learning Engineer
Edison Scientific —San Francisco, CA
- $240,000 - $350,000 a year
- Full-time
- Computer Science
- Psychiatry
- Office
- Commuter assistance
- Paid parental leave
Principal Machine Learning Engineer, Content Safety
roblox —San Mateo, CA
- $295,250 - $345,040 a year
- Full-time
- Office
- 8 years
- US work authorization
Principal Machine Learning Engineer, Alt Defense
roblox —San Mateo, CA
- $295,250 - $345,040 a year
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Lead Engineer, Machine Learning
Sephora —San Francisco, CA
- $191,520 - $212,800 a year
- Full-time
- Hybrid work
- Azure
- System design
- Office
- Health savings account
- Disability insurance
Machine Learning Team Lead
Stand Insurance —San Francisco, CA
- $250,000 - $295,000 a year
- Full-time
- Supervising experience
- Continuous improvement
- Mentoring
- Commuter assistance
- Disability insurance
Principal Engineer
DocuSign —San Francisco, CA
- $212,100 - $342,650 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- 11+ years
- Paid parental leave
- Paid holidays
Founding ML/Data Product Lead
Orum —San Francisco, CA
- $205,000 - $275,000 a year
- Full-time
- Remote
- Analysis skills
- Software development experience
- Senior level
- Paid holidays
- Disability insurance
Principal Product Manager- Monetization
Disney Entertainment and ESPN Product & Technology —San Francisco, CA
- $206,400 - $276,700 a year
- Computer Science
- Master's degree
- Analysis skills
Principal Scientist, Antibody Engineering & Rational Design
CALICO —South San Francisco, CA
- $198,000 - $241,000 a year
- 8 years
- Doctor of Philosophy
- Senior level
Lead Product Analyst
Scribd, Inc. —San Francisco, CA
- $144,000 - $203,000 a year
- Full-time
- 7 years
- Residential
- SQL
- Paid parental leave
- Disability insurance
Principal Systems Engineer, Safety
Zoox —Foster City, CA
- $313,000 - $376,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- Engineering
- Disability insurance
- Health insurance
Quick Apply
Principal Engineer, AI Systems
Block, Inc. —San Francisco Bay Area, CA
- $319,000 - $478,600 a year
- Remote
- System design
- 11+ years
- Mentoring
- Life insurance
- Retirement plan
Transportation Principal Engineer
CONSOR Engineers —Walnut Creek, CA
- $180,000 - $260,000 a year
- Full-time
- Bachelor of Science
- 11+ years
- Office
- Paid training
- Paid parental leave
12d
Forward Deployed Engineer, Lead - AI Engineer
Reflection —San Francisco, CA
- Full-time
- 6 years
- Management
- Office
- Paid parental leave
- Health insurance
Lead Research Engineer
Nerdify —San Francisco, CA
- Java
- Mentoring
- Senior level
Technical Lead Manager - Training Runtime, Data(set) Movement
OpenAI —San Francisco, CA
- $295,000 - $445,000 a year
- Full-time
- Management
- C++
- APIs
Principal Research Engineer, Post-Training
Character.AI —Redwood City, CA
- $275,000 - $400,000 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Mentoring

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Performance Modeling Lead

OpenAI -
San Francisco, CA

Apply Now

Job Details

Full-time
$293,000 - $385,000 a year

Benefits

Relocation assistance

Qualifications

AI models
Machine intelligence
Machine learning
Computer hardware
Distributed systems
Data interpretation
Systems analysis
Distributed computing
Simulation analysis
AI applications
Cross-functional communication

Full Job Description

About the Team

OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments.

Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads.

About the Role

We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems.

You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.

This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

Key Responsibilities

Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.

Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.

Develop performance models to guide decisions on:
scale-up vs. scale-out architectures

interconnect and network design

memory hierarchy and system balance.

Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.

Influence reference designs and vendor roadmaps through data-driven insights.

Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.

Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.

Continuously improve modeling fidelity by validating against real system behavior and measurements.

Qualifications

Have experience owning or building performance modeling frameworks used to drive real system design decisions.

Have deep knowledge of AI/ML workloads, including training and/or inference at scale.

Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.

Are comfortable working across abstraction layers—from workload behavior to hardware implementation.

Have experience using modeling (analytical or simulation) to inform architectural decisions.

Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.

Communicate clearly and influence both internal teams and external partners.

Preferred Skills

Experience working with hardware vendors (ODM/JDM, silicon, networking).

Background in data center infrastructure or hyperscale systems.

Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).

Experience influencing hardware roadmaps or reference architectures.

Prior experience leading or mentoring engineers.

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 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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through

this form

. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

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.

Compensation

$293K – $385K + Offers Equity

Apply Now

Refine Your Search

lead principal machine learning engineer jobs in san francisco, ca

Performance Modeling Lead

Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors

Staff/Principal Machine Learning Engineer

Senior/Principal Machine Learning Engineer

Principal Machine Learning Engineer, Content Safety

Principal Machine Learning Engineer, Alt Defense

Lead Engineer, Machine Learning

Machine Learning Team Lead

Principal Engineer

Founding ML/Data Product Lead

Principal Product Manager- Monetization

Principal Scientist, Antibody Engineering & Rational Design

Lead Product Analyst

Principal Systems Engineer, Safety

Principal Engineer, AI Systems

Transportation Principal Engineer

Forward Deployed Engineer, Lead - AI Engineer

Lead Research Engineer

Technical Lead Manager - Training Runtime, Data(set) Movement

Principal Research Engineer, Post-Training

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