Director, Engineering - AV Labs

Uber

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $302,000–$302,000 / yr
Posted: 23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $302k

$156k most similar roles pay here $318k

This role pays more than 89% of similar roles. Most pay $186,150–$258,000 — the shaded band above. At the midpoint, this role pays about $302k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Director, Engineering - AV Labs

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As the Director of Engineering at AV Labs, you will lead a world-class engineering team focused on developing advanced AI models and algorithms that process multi-modal sensor data to enrich our massive driving dataset. Your daily responsibilities include building and scaling an organization of AI modeling, machine learning, and autonomy engineers, fostering technical excellence and high velocity in scientific execution. You will provide strategic direction for scalable model architectures that extract semantic meaning from complex urban scenarios, ensuring robustness and accuracy in training state-of-the-art models. Additionally, you will collaborate closely with Product, Operations, and other executives to align AI development with business goals, requiring extensive experience in managing large-scale ML engineering teams and delivering highly scalable algorithms and solutions.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD AWS Google Cloud Azure PostgreSQL MongoDB Git Jenkins Prometheus Grafana Scikit-learn Pandas NumPy Apache Spark

What you'll do

Lead the development of AI models and algorithms that enrich L4 data lake capabilities.
Build and scale a high-performing engineering team focused on advanced AI foundation models.
Ensure robust and accurate semantic data processing algorithms for autonomous database support.
Provide technical vision and strategic direction for scalable model architectures in AI.
Partner with cross-functional teams to align AI model development with business goals.

What we're looking for

12+ years of engineering experience in AI modeling or applied ML
5+ years managing engineering teams and leading large-scale ML/AI organizations
Proven track record delivering scalable algorithms and advanced AI models to production
Bachelor's degree in Computer Science, Engineering, or related field required
Experience building models for processing and querying massive datasets
Deep understanding of modern ML architectures and large-scale data processing

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