Role Overview
Uber is hiring a Staff Data Scientist, Tech. This is a full-time role in San Francisco, California. Part of Uber's Risk hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Staff-level Risk roles is $86k-$141k (based on 14 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
About The Role
In this role, you will be the primary technical lead responsible for evaluating the safety and maturity of Autonomous Vehicle (AV) partners looking to launch on the Uber platform.
Your mission is to conduct rigorous technical safety due diligence to ensure that any third-party AV technology meets Uber's safety standards. You will serve as the technical bridge between Uber and our partners, requiring a unique blend of deep systems engineering expertise and world-class external communication skills. This role is on Uber's Autonomous Mobility and Delivery Safety team and reports to the Senior Manager, Systems Engineering, Autonomous Mobility & Delivery Autonomous Mobility & Delivery.
What You Will Do
---- What You Will Do ----
- Determine Partner Assessment Criteria: Define and maintain the technical rubrics and safety benchmarks used to evaluate diverse AV stacks. You will tailor these criteria to account for different operational design domains (ODDs) and technology architectures.
- Partner Integration Leadership: Work hand-in-hand with external partner engineering teams and internal engineering teams to ensure their system aligns with our safety expectations.
- Safety Risk Assessments (SRAs): Conduct deep-dive technical reviews of partner systems. You will be responsible for authoring comprehensive Safety Risk Assessments that synthesize complex technical data into clear, actionable feedback for both the partner and Uber's leadership.
- Regulatory compliance & system impact: Partner with policy and regional teams to translate local regulatory requirements into engineering solutions, and perform rigorous safety analyses to evaluate their impact on vehicle systems, user behavior, and operational risk.
- Process Improvement: Continuously evolve Uber's partner onboarding and assessment frameworks. You will identify bottlenecks in the current verification and validation (V&V) pipeline and implement data-driven improvements to make the process more scalable and robust.
- Strategic Communication: Act as the face of Uber's safety engineering team to external partners. You will navigate complex technical negotiations and provide high-stakes verbal and written briefings to cross-functional stakeholders, including Product, Legal, and Policy teams.
- Apply AI responsibly: Evaluate and integrate AI/ML-driven approaches to enhance safety validation and risk identification, while ensuring appropriate oversight, traceability, and compliance with safety standards.
Basic Qualifications
- Bachelor's degree in Robotics, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related technical field.
- 7+ years of experience in systems engineering, with a significant focus on complex hardware/software integrations.
- Proven track record in the Autonomous Vehicle industry, specifically within safety-critical systems.
- Experience with V&V methodologies and AV industry standards and best practices (e.g., ISO 26262, SOTIF/ISO 21448).
- Proven experience performing Safety Risk Assessments (SRA) or similar technical due diligence.
- Exceptional written and verbal communication skills, with a track record of managing high-stakes external technical relationships.
Preferred Qualifications
- Experience with ISO 26262, SOTIF (ISO 21448), and ANSI/UL 4600 standards.
- Demonstrated ability to navigate global regulatory landscapes and work with internationally distributed teams.
- Ability to influence cross-functional teams without direct authority.
- Strong analytical skills with the ability to distill complex technical risks into business impact.
- Ability / experience with AI
~~ ~~, For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Washington, DC-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits .
About Uber
Uber
uber.com
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Frequently Asked Questions
How do I apply for the Staff Data Scientist, Tech position at Uber?
Use the Apply button above to submit your application directly to Uber. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Staff Data Scientist, Tech position at Uber located?
This position is based in San Francisco, California. Uber has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Staff Data Scientist, Tech at Uber earn?
Uber has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Staff Data Scientist, Tech role at Uber posted?
This role was posted on June 27, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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