Machine Learning Engineer (Sunnyvale, San Francisco)

$158,000 - $175,500/Yr

Uber - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Machine Learning Engineer (MLE) role at Uber focuses on enhancing the efficiency of the Delivery Marketplace through the development and implementation of machine learning solutions. MLEs are responsible for driving the ideation, development, and productionization of optimization solutions that leverage real-time and ML-based signals to address strategically important challenges. This position involves collaboration with product managers, data scientists, and engineers to solve complex problems at scale, utilizing 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 a language 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, productionisation 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

• Base salary range of USD$158,000 - USD$175,500 per year.
• Eligibility to participate in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed in the company policy.