About the Role
As a Sr. Manager of Engineering, you will lead a highly specialized team of machine learning engineers and applied researchers focused on AI models and behavioral causality. You will guide the execution and development of state-of-the-art foundation models that parse complex urban edge cases, driving the technical roadmap to add rich semantics to our massive driving data. By leading the charge on understanding the \"why\" behind driving decisions, your team will power the L4 data and evaluation engine that serves as the ultimate data mining platform for our autonomous partners.
What You Will Do
- Team Leadership & Growth: Build, manage, and mentor a high-performing engineering team of ML experts, AI modelers, and data scientists. Foster a culture of rigorous scientific experimentation, high-velocity execution, and engineering excellence.
- AI Model Execution: Drive the day-to-day development of advanced autonomy algorithms and foundation models. Ensure your team successfully extracts high-fidelity semantic meaning from multi-modal sensor data to enrich our L4 data lake.
- Technical Strategy & Engineering Rigor: Collaborate with technical leadership to steer foundational architectural choices. Maintain uncompromising quality for deployed systems, ensuring performance is tuned for low-latency execution of large scale data.
- Cross-Functional Collaboration: Partner closely with Directors, Principal Engineers, Product Managers, and infrastructure teams to align your team's ML modeling efforts with broader business goals and ensure seamless deployment at scale.
Basic Qualifications
- 8+ years of software engineering experience in applied ML, AI modeling, or Autonomous Systems.
- 3+ years of experience managing engineering teams, with a track record of leading high-performing ML or AI organizations.
- Proven experience delivering complex, large-scale AI models or ML pipelines from conception to production.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields.
- Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python/Linux environments.
Preferred Qualifications
- Advanced degree (MS or PhD) in Robotics, Machine Learning, Computer Vision, or a related field.
- Deep technical understanding of AI foundation models, multi-modal perception, and causal behavior modeling.
- Prior experience in the Autonomous Vehicle (AV) industry, specifically focused on offline evaluation, 3P data understanding, or autonomous data mining (as opposed to embedded on-car execution).
- Strong background in guiding teams to build models that process, structure, and query massive datasets to enable advanced scene representation.
- Excellent communication skills with the ability to translate complex technical concepts into strategic roadmaps for cross-functional partners.
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 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](https://jobs.uber.com/en/benefits).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
