Uber — ML Engineer II

Posted: 24-08-2025

Salary: ₹25 - ₹40 Lakhs/Annum Expected

Description:

Uber AI Solutions is on an exciting journey to build one of the world’s largest AI-driven platforms. As part of the Moonshot AI team, you’ll be working on solving real-world challenges like optimizing gig marketplace supply and demand, enabling ML-assisted data annotations, developing quality evaluation systems, and creating smart ranking models to recommend gigs.

In this role, you’ll get to:

  • Design and build advanced ML models and systems.
  • Work closely with product managers, engineers, and other teams to integrate AI solutions into Uber products.
  • Stay on top of the latest developments in Machine Learning, Generative AI, Computer Vision, and NLP.
  • Write clean and maintainable code that scales.
  • Contribute to building innovative solutions that impact millions of people worldwide.

Key Technical Skills:

Machine Learning, Artificial Intelligence, Deep Learning, Generative AI, Computer Vision, Natural Language Processing, Java, Go, Distributed Training, Model Prototyping

Requirements:

  • Bachelor’s, Master’s, or Ph.D. in Computer Science or related field.
  • Strong expertise in ML/AI with specialization in CV, NLP, or Generative AI.
  • Excellent coding ability in Java or Go.
  • At least 2 years of industry experience in ML/AI development.
  • Experience in training large models on distributed systems is a big plus.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively across teams.
  • Passion for continuous learning and experimentation.

This is a fantastic opportunity for those passionate about ML/AI, who love experimenting with models, and want to shape the future of Uber’s AI-driven services.

Important Notice:

This job description and related content are owned by Uber. We are only sharing this information to help job seekers find opportunities. For application procedures, status, or any related concerns, please contact Uber directly. We do not process applications or respond to candidate queries.