Machine Learning Engineer, Delivery Matching

$185,000 - $205,500/Yr

Uber - New York, NY

Full-time - Mid Level

Remote - New York, NY

Transit and Ground Passenger Transportation

About the position

The Machine Learning Engineer (MLE) role within the Delivery Marketplace at Uber is pivotal in optimizing delivery processes across various services, including UberEats and grocery deliveries. This position involves leading the development and implementation of machine learning solutions that enhance operational efficiency and user experience. MLEs will collaborate with product managers, data scientists, and engineers to tackle complex problems using advanced techniques such as reinforcement learning and deep learning.

Responsibilities

• Drive the design, development, optimization, and productization of machine learning (ML) solutions and systems.
• Build ML solutions to improve Delivery marketplace efficiency while delivering a magical user experience.

Requirements

• PhD or equivalent experience in Computer Science, Engineering, Mathematics, or a related field.
• 2 years of Software Engineering work experience.
• Experience in programming with languages such as Python, C, C++, Java, or Go.
• Experience with ML 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 ML solutions at scale.

Nice-to-haves

• Experience in modern deep learning architectures and probabilistic models.
• Experience in optimization (RL / Bayes / Bandits) and online learning.
• Experience in causal inference/personalization/ranking.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards and other types of compensation.
• Various employee benefits as detailed on Uber's careers page.