About the Role
Uber is looking for a hands-on Engineering Manager to support our Marketplace Logistics team which includes Delivery Matching & Logistics Growth (Demand Shaping, Recommendation and Shared Rides). As the eng lead, you will have ownership of all aspects of growing the team and relevant products. You will manage a high performing team that plays a crucial role in developing prediction/forecasting/recommendation ML models as well as optimizing algorithms and systems that match supply(drivers) with demand (eaters/riders) in real-time. The team works on complex problems, leveraging data to build end-to-end ML systems to ensure efficient and reliable marketplace matching. Your contributions will directly impact the experience of millions of users worldwide. By significantly contributing and crafting the vision, you will help accelerate and scale the matching systems as Uber continues to invest and grow in different verticals and markets.
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We are broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology. As the central brain of the company, our predictions are critical and make moving from point A to point B possible for every trip and order on Uber, from Rides to Eats to new verticals such as Grocery. We handle all the logic from making the Uber eats dispatch decisions, forecasting traffic conditions, predicting travel time ETAs, restaurant wait times, optimal pickup times for orders. We build products that directly impact Uber's top and bottom lines. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users.
What the Candidate Will Do
- Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance.
- Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions.
- Mentor and provide technical guidance to engineers of the team, fostering their professional growth and development.
- Guide the team in optimizing and fine-tuning machine learning models for scalability, performance, and efficiency.
- Identify new business opportunities to solve problems with the right technologies.
- Conduct exploratory data analysis and feature engineering to gain insights and improve model performance.
- Conduct research and stay up-to-date with the latest advancements in machine learning techniques and technologies.
- Collaborate with cross-functional teams to drive best practices in data management, data quality, and model deployment.
- Stay informed about industry trends, emerging technologies, and advancements in machine learning and artificial intelligence.
Basic Qualifications
- A Bachelor's, or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
- Minimum 6+ years of experience in developing and deploying machine learning models and algorithms in production environments
- Minimum 2+ years of experience in managing a ML team, developing roadmaps and delivering business critical results.
- Strong programming skills in languages such as Python, Java, or C++
- Deep understanding of machine learning algorithms, statistical models, and their applications
- Experience with ML packages such as PyTorch, Tensorflow, JAX, Scikit-Learn.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams
Preferred Qualifications
- Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
- Strong knowledge of deep learning/reinforcement learning/bandit exploration techniques and familiarity with modern research in the field is highly valued
- Proficiency in SQL and experience with relational and NoSQL databases
- Strong analytical and problem-solving skills are necessary to tackle complex machine learning challenges
For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.