Senior Machine Learning Engineer, Delivery Matching
UberAbout The Role
Delivery Marketplace is a central pillar to Uber's delivery products. As the central brain of the company, we are the decision makers that make moving from point A to point B possible for every order that Uber serves, from UberEats to new verticals such as Grocery. We handle all the logic from making the dispatch decisions, predicting how long a delivery might take, and estimating optimal pickup times for orders. We build products that directly impact Uber's top and bottom lines.
Machine Learning Engineers (MLEs) lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development, and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem spaces that the team works on include:
- Using statistical/machine learning/forecasting models for demand and supply models.
- State of the art prediction models for estimating food preparation times, batching quality as well as time spent by couriers at restaurants picking up items.
- Develop objective functions which balance magical user experience and economics of the business.
It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, data scientists, and engineers from other teams. You will be in charge of solving Uber scale problems with the right techniques like reinforcement learning, deep learning, and optimization methods.
What The Candidate Will Do
- Drive the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems.
- Build ML solutions to improve Delivery marketplace efficiency while delivering magical user experience.
Basic Qualifications
- PhD or equivalent experience in Computer Science, Engineering, Mathematics, or a related field and 2 years of Software Engineering work experience.
- Experience in programming with a language such as Python, C, C++, Java, or Go.
- Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
- Experience with SQL and database systems such as Hive, Kafka, and Cassandra.
- Experience in the development, training, productionisation, and monitoring of ML solutions at scale.
Preferred Qualifications
- Experience in modern deep learning architectures and probabilistic models.
- Experience in optimization (RL / Bayes / Bandits) and online learning.
- Experience in causal inference, personalization, and ranking.
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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 compensation. You will also be eligible for various benefits.
Benefits Extracted with AI
- Bonus program
- Equity award
- Health insurance
- Paid vacation
Similar jobs
Last update: 23 minutes ago
Staff Machine Learning Engineer
Join Uber as a Staff Machine Learning Engineer to innovate and lead ML systems for UberEats.
Senior Software Engineer - Machine Learning Platform
Join Uber's Michelangelo Machine Learning Platform team as a Senior Software Engineer to build and manage distributed systems.
Senior Backend Software Engineer - Earnings Experience
Join Uber as a Senior Backend Software Engineer to build scalable systems for earnings experience.
Senior Software Engineer, Machine Learning
Join as a Senior Software Engineer in Machine Learning, working remotely to build ML-driven products for user engagement.
Senior Machine Learning Engineer
Join Olo as a Senior Machine Learning Engineer to build and scale ML models for the restaurant industry. Remote work available.
Senior Machine Learning Engineer, Support Products
Join Airbnb as a Senior Machine Learning Engineer to develop AI solutions for Community Support.
Senior Software Engineer, Backend
Join Uber as a Senior Software Engineer, Backend, focusing on AWS, Java, and microservices in Aarhus, Denmark.
Senior Machine Learning Engineer
Join Intuit as a Senior Machine Learning Engineer to innovate and scale AI algorithms in San Diego.
Machine Learning Engineer - Ads
Join as a Machine Learning Engineer focusing on Ads, developing predictive models in a hybrid role in New York.
Senior ML Infrastructure Engineer
Join CHAI: AI Platform as a Senior ML Infrastructure Engineer to build and scale ML systems in Palo Alto.
Machine Learning Engineer
Join Ema Unlimited as a Machine Learning Engineer in SF Bay Area, working on cutting-edge AI solutions with a focus on NLP and ML technologies.
Machine Learning Engineer
Join PayPal as a Machine Learning Engineer to develop advanced ML solutions for product and marketing strategies.
Machine Learning Engineer with AI/ML Experience
Join us as a Machine Learning Engineer to develop AI/ML models and applications. Work remotely with top-tier companies.
Machine Learning Engineer - University Graduate 2025
Join Adobe as a Machine Learning Engineer to develop AI technologies for Photoshop and Digital Imaging.
Machine Learning Engineer
Join Snap Inc. as a Machine Learning Engineer in Los Angeles. Develop and deploy ML models to enhance user experience. Competitive salary and benefits.
Senior Software Engineer, Machine Learning
Join Niantic as a Senior Software Engineer in Machine Learning to enhance products using generative AI technologies.
Machine Learning Engineer, Foundation Model
Join Stripe as a Machine Learning Engineer to develop and deploy ML models, enhancing user interaction with cutting-edge AI technologies.
Machine Learning Engineer for Vehicle Safety Systems
Join Porsche AG as a Machine Learning Engineer to enhance vehicle safety systems using AI and data science.
Senior Applied Scientist, AWS Marketing AI/ML
Join AWS as a Senior Applied Scientist in Marketing AI/ML, leading personalization and targeting initiatives.
Senior Machine Learning Scientist - Consultant Level
Join Visa as a Senior Machine Learning Scientist to develop fraud detection solutions using AI and data science in a hybrid work environment.
Internship - Machine Learning Engineer & Data Science
Join Upper Hand as a Machine Learning Engineer & Data Scientist intern to build and deploy AI models in sports technology.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to lead machine learning projects, optimize ad performance, and drive innovation.
Software Engineer II, AI Platform (Michelangelo)
Join Uber's AI Platform team as a Software Engineer II to build and manage distributed systems for AI technologies.
Senior Machine Learning Engineer
Join as a Senior Machine Learning Engineer to design and deploy advanced ML solutions using Python, Spark, and cloud platforms. Remote work opportunity.