Staff Machine Learning Engineer, Delivery Matching

$218,000 - $242,000/Yr

Uber - New York, NY

Full-time - Senior

New York, NY

Transit and Ground Passenger Transportation

About the position

The Staff Machine Learning Engineer in Delivery Matching at Uber plays a crucial role in optimizing the delivery marketplace, which is essential for Uber's delivery products. This position involves leading the development and implementation of machine learning solutions that enhance efficiency and user experience across various delivery services, including UberEats and grocery deliveries. The role requires collaboration with product managers, data scientists, and engineers to solve complex problems using advanced machine learning techniques.

Responsibilities

• Lead 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.
• Lead ML engineers, providing technical leadership and vision for the team.

Requirements

• PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field.
• 6 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 a technical leadership role and mentoring junior engineers.
• 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

• Base salary range of USD$218,000 - USD$242,000 per year.
• Eligibility to participate in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed on Uber's careers page.