Staff Machine Learning Engineer, Delivery Matching

$218,000 - $242,000/Yr

Uber - New York, NY

Full-time - Senior

Remote - New York, NY

5,001-10,000 employees

Transit and Ground Passenger Transportation

About the position

The Staff Machine Learning Engineer for Delivery Matching at Uber plays a crucial role in optimizing the delivery marketplace, which is essential for the company's various delivery products. This position involves leading the design, development, and implementation of machine learning solutions that enhance efficiency and user experience. The role requires collaboration with product managers, data scientists, and engineers, as well as mentoring junior engineers in the development cycle from ideation to production.

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.
• Provide technical leadership and vision for the team of ML engineers.

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, and ranking.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards and other types of compensation.
• Various health and wellness benefits.