Staff Machine Learning Engineer, Delivery Optimization
3 weeks ago
As a key member of the Delivery Marketplace team at Uber, you will play a critical role in developing and implementing machine learning solutions that drive business growth and improve user experience. The team is responsible for building products that directly impact Uber's top and bottom lines, and we are looking for a talented Machine Learning Engineer to join our team.
Key Responsibilities- Design, develop, and optimize machine learning solutions to improve Delivery Marketplace efficiency and user experience
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers to drive ideation and development of optimization solutions
- Lead the development of machine learning models and systems that are used to solve strategically important problems
- Work with data scientists to develop and train machine learning models, and with engineers to deploy and monitor them
- Stay up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- PhD or equivalent experience in Computer Science, Engineering, Mathematics, or a related field
- 6+ years of software engineering experience, with a focus on machine learning and data science
- Experience with programming languages such as Python, C, C++, Java, or Go
- Experience with machine learning 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, productionization, and monitoring of machine learning solutions at scale
- Experience in a technical leadership role and mentoring junior engineers
- Experience in modern deep learning architectures and probabilistic models
- Experience in optimization (RL / Bayes / Bandits) and online learning
- Experience in causal inference/personalization/ranking
At Uber, we offer a competitive salary and benefits package, as well as opportunities for professional growth and development. We are committed to creating a diverse and inclusive work environment, and we welcome applications from candidates of all backgrounds.
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