Senior Machine Learning Engineer, Product Platform & Data Eng

Actively Reviewing the Applications

Uber

India, Karnataka, Bengaluru Full-Time On-site

Posted 2 weeks ago • Apply by June 4, 2026

Job Description

Your Role & Mission

Applied AI is a horizontal AI team at Uber collaborating with business units across the company to deliver cutting-edge AI solutions for core business problems. We work closely with engineering, product and data science teams to understand key business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Generative AI, Computer Vision, and Personalization.

We are looking for a strong Senior ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you'll be responsible for delivering Uber's next wave of intelligent experiences by building ML solutions that power core user and business-facing products.

What You'll Be Working On

Build ML solutions to solve business needs across the Rider organization with over 300+ engineers. Some of the types of projects you will work on for e.g:

Address the under-supply problem and reduce the pickup ETA
Improve the overall experience of the Riders at the Reserve
Provide effective ETR for Drivers when they take Intercity trips

Required Qualifications

Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2 years of Software Engineering work experience, or 5 years 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, productionization and monitoring of ML solutions at scale.
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.
Excellent problem-solving and analytical abilities.
Proven ability to collaborate effectively as a team player