Senior Machine Learning Engineer II - Eats Search & Recommendations
Machine Learning, Engineering en San Francisco, CA
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
The Senior II Engineer will be expected to be involved in Core AND either Feed OR Search all aspects of the team.
As of today, the team has 3 sub-tracks:
Core: Backend scalability, Data reliability, Product features
Search: Search Retrieval & First Pass Ranking, Assisted Search, Search Relevance with Food Graph
What You’ll Do
Depending upon their previous expertise and interest, they will be expected to be heavily involved in
Building scalable retrieval and ranking systems
Helping setup the right tech / tools / processes to speed up experimentation velocity
Working closely with ML-Infra teams (like Search and Michelangelo) to guide the building of next gen Infra
Building state-of-the art relevance for UberEats Feed OR Search systems
What You’ll Need
Previous domain expertise in some high-scale Applied ML field (Recommendations, Search, Ads, Content relevance etc)
Bonus Points If
Previous expertise on distributed systems and/or ML Infra
Excited about scalability and reliability of systems
About the Team
Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride.
The Eater Discovery team is responsible for serving and personalization of Feed, Search and Menu flows in the Eats app. The team’s mission is to build a reliable, personalized and leverageable platform to enable effortless food discovery for consumers everywhere. As the world moves towards high adoption of delivery services, we believe that effortless discovery will be one of the biggest product differentiators in the years to come.
The team owns 3 tier-1 (business critical) services, 30 machine learning models in production and over 300 data pipelines which ETL and monitor the data used for these models. The team vision can be found here - http://t.uber.com/discovery-vision-19
En Uber no solo aceptamos la diferencia; la celebramos, la apoyamos y la valoramos para beneficio de nuestros empleados, de nuestros productos y de nuestra comunidad. Uber se enorgullece de ser un lugar de trabajo con igualdad de oportunidades y es un empleador de acción afirmativa. También estamos comprometidos con el empleo en igualdad de oportunidades sin considerar raza, color, origen familiar, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estado civil, condición de discapacidad, identidad de género o estado de Veterano.