Graduate 2024 Machine Learning Engineer I, San Francisco

$140,000 - $147,000/Yr

Uber - San Francisco, CA

Full-time - Entry Level

San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Graduate 2024 Machine Learning Engineer I position at Uber involves contributing to the design, development, optimization, and productionization of machine learning solutions. The role is focused on solving well-defined problems with the support of a team, while also learning to enhance ML infrastructure for model development and deployment.

Responsibilities

• Develop and productionize machine learning algorithms for multiple business problems
• Deeply engage with product datasets to analyze them and drive product insights, further model iterations
• Continuously innovate and apply state-of-the-art ML algorithms at Uber Scale

Requirements

• Bachelor's or Master's degree in Machine Learning, Computer Science, or a related technical field, or equivalent experience in an engineering related bootcamp
• Must have a graduation date in 2023 or 2024
• Working knowledge of contemporary machine learning and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX)
• If selected, must be willing to start the role in 2024

Nice-to-haves

• Knowledge of Multimodal Classification (Natural Language Processing, Computer Vision)
• Experience building reusable embeddings, applications and fine tuning of large language models
• Deep understanding of all aspects of machine learning model lifecycles (from prototypes, feature engineering, training, inference, deployment, monitoring)
• Proficient experience with one or more of the following programming languages: Java, Go, C/C++, Python, Ruby, etc.
• Strong statistical and experimental foundation and acumen to develop insights from data

Benefits

• Base salary range of USD$140,000 - USD$147,000 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