About The Role
The Membership team at Uber is responsible for developing and reinventing the Uber and UberEats app to be a member-first experience, focusing on price and perks. As a Senior Software Engineer in Machine Learning, you will be part of a highly collaborative team designed to maximize your ability to deliver impactful results. You will work on code that directly affects users today and consumers in the future, impacting the foundations of Uber globally. Your work will be pivotal in building the biggest lever for Uber.
For an industry synonymous with convenience, Uber Members will receive a unique experience: a single platform for all their on-demand needs, anywhere in the world, guaranteeing the best price, selection, priority, and perks.
You will lead projects and drive cross-team collaboration with engineers across various product teams, including UberEats, Rides, and FinTech. Your work will deliver impact across various products and business lines. If you are interested in building product-facing systems, solving complex system problems, improving user experience, and helping drive Uber's top-line metrics, then the Membership team is for you.
What The Candidate Will Need
- Design and build Machine Learning models with optimization engines.
- Productionize and deploy these models for real-world application.
- Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
- Write high-quality code and uphold standards for testing and coverage.
- Align the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions.
- Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.
- Find opportunities to improve how our team operates and promote standard processes.
Basic Qualifications
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or related field, with 5+ years of full-time engineering experience.
- 3+ years of ML experience and building ML models.
- Experience working with multiple multi-functional teams (product, science, product ops, etc.).
- Expertise in one or more object-oriented programming languages (e.g., Python, Go, Java, C++).
- Experience with big-data architecture, ETL frameworks, and platforms.
- Solid understanding of the latest ML technologies and libraries.
- Proven track record of being a fast learner and go-getter, with a willingness to get out of the comfort zone.
Preferred Qualifications
- Experience with the design and architecture of ML systems and workflows.
- Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure, and optimization constraints, and delivering business impact.
- Experience with optimizing Spark queries for better CPU and memory efficiency.
- Experience owning and delivering a technically challenging, multi-quarter project end to end.
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