Machine Learning Engineer, Delivery Matching

Machine Learning Engineer, Delivery Matching

Uber

Published 24 Aug 2024

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USD$185000 - USD$205500 annually

Full Time

Role Highlights

Objective-C

Python

C++

Java

GO

SQL

Computer Science

Product Management

UX

Optimization

Statistics

Forecasting

Economics

Data

Mathematics

Database

Inference

Tools, Libraries and Frameworks

JAX

Hive

Kafka

Tensorflow

PyTorch

Scikit-learn

Description

The role is central to Uber's delivery products, focusing on decision-making for efficient order delivery. The position involves building machine learning solutions that enhance delivery efficiency while optimizing user experience and business economics. The team works on real-time decision-making and optimization solutions, leveraging statistical and machine learning models. Candidates will collaborate with product managers and data scientists to solve complex problems using advanced techniques.

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. Its our lifeblood. It runs through our veins. Its what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. Weve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. Weve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

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