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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