ML Engineer — Uber India

About this ML Engineer role at Uber India

Uber India is hiring ML Engineers to optimize its marketplace platform in Bengaluru. As a mid-level ML engineer here, you'll work on real-time machine learning systems that power matching, pricing, and routing for millions of users across India. This is a permanent, on-site role at one of the world's leading mobility and delivery platforms.

What you'll do

• Build and optimize machine learning models for marketplace matching and demand-supply algorithms at scale
• Develop real-time ML systems that make split-second decisions for ride and delivery matching
• Write production Python code for model training, evaluation, and deployment in high-throughput environments
• Apply deep learning techniques to improve prediction accuracy and platform efficiency
• Collaborate with data engineers and product teams to translate business problems into ML solutions
• Monitor and maintain ML models in production, ensuring reliability and performance

Who should apply

You need at least 4 years of professional experience building machine learning systems at scale. This is a mid-level role, so you should be comfortable with Python, have solid deep learning fundamentals, and have shipped real-time ML systems to production. The role expects you to own problems end-to-end, from model design through deployment and monitoring.

Salary & offer in context

Uber offers ₹40–80 LPA plus RSUs for this role, placing it well above the median ML Engineer salary in India for mid-level professionals. The package reflects Uber's scale and the complexity of building AI systems for millions of marketplace transactions daily—typical ML engineer salaries at Bangalore tech companies range ₹35–70 LPA, so this is a competitive offer in the private tech sector.

Path to apply

Apply directly through Uber's online careers portal—no exam, no screening quiz required. You'll submit your resume, and if your background matches the 4+ years ML experience requirement, you'll move to technical interviews. The application deadline is June 10, 2026, so move quickly if this aligns with your goals.