Uber Engineering Manager II Machine Learning - Account Integrity 

United States, West Virginia 

528558874

About the Role

- - - - What the Candidate Will Do ----

1. Lead a set of Machine Learning Engineers that build models to improve fraud detection and ensure the integrity of all Uber accounts
2. Work closely with cross-functional partners to understand product/business context and incorporate them into planning.
3. Set the technical vision and roadmap for the team balancing execution against product goals, investing in foundations and innovating using latest tools & techniques.
4. Setup the right processes to ensure the team follows best Engineering practices.

- - - - Basic Qualifications ----

1. Ph.D. or M.S. degree in Machine Learning, Statistics, Computer Science or other related technical discipline.
2. 2+ years of experience directly managing high-performing Machine Learning Engineering teams.
3. High degree of ownership and bias towards action, with a focus on impact and results.
4. 3+ years of hands-on Machine Learning Engineer experience

- - - - Preferred Qualifications ----

1. 5+ years experience / track-record of building machine learning, or fraud detection systems.
2. Strong product sense and experience with end-to-end ownership of product development.
3. Demonstrated ability to make data-driven decisions using strong analytical skills, with a track record of leveraging insights to drive Engineering investment direction.
4. Excellent communication and cross-functional collaboration skills.
5. Strong people leadership skills including growing and mentoring team members.
6. Keeps up to date with industry trends, latest research in ML/DL/LLM, and be able to proactively make pragmatic choices on what to adapt in our systems.

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.