Base Salary
$267k - $297k/yr
Responsibilities
- Collaborate with product, data science, and engineering leadership to shape the team’s technical roadmap and problem formulations.
- Apply machine learning, optimization, and statistical methods to design robust solutions for large-scale real-world problems.
- Own end-to-end ML products, including model pipelines, system design, implementation, A/B testing, and rollout.
- Work with the team to productionize ML solutions at scale.
- Shape the ML engineering role and elevate ML engineering talent across the organization.
Requirements
- 10+ years of industry experience developing classical and deep learning models and shipping ML solutions to production.
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong problem-solving skills and expertise in machine learning methodologies.
- Experience applying machine learning, statistics, or optimization techniques to large-scale real-world problems.
- Industry experience with ML frameworks such as TensorFlow, PyTorch, or JAX; complex data pipelines; and programming languages including Python, Spark SQL, Presto, Go, or Java.
- Preferred: PhD in Computer Science, Engineering, Mathematics, or a related field.
- Preferred: familiarity with multi-task learning, LLMs, anomaly detection, and fraud domain knowledge.
Benefits
- Base salary range of USD $267,000-$297,000 per year for San Francisco and Sunnyvale, California-based roles.
- Eligibility for Uber’s bonus program and potential equity awards and other compensation.
- Eligibility for a 401(k) plan and various benefits for full-time employees.
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.