Senior Machine Learning Engineer - Applied AI

$185,000 - $205,500/Yr

Uber - San Francisco, CA

Full-time

Remote - San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Machine Learning Engineer role within the Generative AI team at Uber focuses on building a semantic understanding of entities relevant to the Uber platform, such as places, merchants, items, and users. The team collaborates with various product and engineering teams to design, develop, and implement AI solutions that enhance the understanding and personalization of user experiences. This position requires expertise in machine learning and a strong background in developing scalable ML solutions.

Responsibilities

• Build and iterate on capturing semantic information of Uber entities by leveraging LLMs.
• Generate embeddings using the semantic information to improve understanding of places, merchants, items, and users.
• Leverage semantic information to enhance ML models across Uber and create novel personalized experiences.

Requirements

• Masters degree equivalent in Computer Science, Engineering, or Mathematics.
• 5+ years of experience in the development, training, productionization, and monitoring of ML solutions at scale.
• Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
• Experience with big-data architecture and ETL frameworks such as Spark, MapReduce, HDFS, Hive.
• Experience working collaboratively across teams and organizational boundaries with engineering and product counterparts.

Nice-to-haves

• Experience in formulating vague business problems as ML problems and delivering business impact.
• Experience in building foundational data and embeddings for application-specific models.
• Familiarity with modern deep learning architectures and recommender systems.

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 benefits page.