About the Role
Uber is on the lookout for an outstanding leader to drive innovation for Uber's Machine Learning Platform (Michelangelo). This role involves building and managing robust distributed systems and tackling infrastructure challenges to empower Uber’s product engineering and data science teams with the latest technologies in large-scale Artificial Intelligence.
The Michelangelo team works on building end-to-end ML systems and up-leveling ML quality at Uber. You will be part of a team of strong software and systems engineers, performing in a fast-paced environment. For more information on the Michelangelo Machine Learning Platform, see our select blog posts:
- Meet Michelangelo: Uber’s Machine Learning Platform
- Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber
- Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development
- Continuous Integration and Deployment for Machine Learning Online Serving and Models
- Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow
- Elastic Distributed Training with XGBoost on Ray
What the Candidate Will Do ----
- You’ll manage a team with a mission to bring up level ML and AI capabilities for all use cases at Uber
- Drive the technical alignment internally and with partner teams
- Own roadmap execution and delivery of projects with high quality
- Contribute to the engineering culture and uphold the processes that will shape the team
- Grow, mentor, and develop a team of the backend, ML, and infra engineers
- Lean on technical experience to facilitate technical decision-making and improve the team’s engineering craft
- Recruit high-quality engineering talent for the team
---- Basic Qualifications ----
- Experience as a software engineering leader and manager who has built and managed world-class technical teams for at least 6+ years
- Proven ability to work with and achieve results as part of a multi-location team
- Proven track record of working with large-scale distributed systems (multi-tier architectures, application security, monitoring, and storage systems)
- Experience leading engineering teams in parallel execution against high-stakes business goals and extensive engineering priorities
- Experience partnering across functions and organizational boundaries to effectively advocate for team, business, and company priorities
- A strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions
---- Preferred Qualifications ----
- Scalable ML Infra Knowledge
- Experience in building and managing distributed systems and high-throughput services.
- Systematic problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.
- Experienced production user of Deep Learning frameworks such as Apache Spark, XGBoost, Ray, Tensorflow, PyTorch, Keras, Polar, Dask, CUDA, Rocm etc.
- Experience in high-performance computing, networking, storage, database, cache or compute
For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.