ML Engineer — Recommendation Systems

About this ML Engineer role at Swiggy

Swiggy, India's leading food-tech platform, is hiring ML Engineers for its personalization team in Bengaluru. This mid-level role sits at the core of how millions of Indians discover restaurants and dishes — building the recommendation systems that power search, ranking, and real-time personalization across the app. You'll work on problems that directly impact user experience and business metrics at scale.

What you'll do

• Design and optimize retrieval and ranking systems that surface the most relevant restaurants and dishes to users in real time
• Build and fine-tune deep learning models using PyTorch or TensorFlow for personalized recommendations
• Develop scalable recommendation engines that handle millions of requests per day with low latency
• Collaborate with product and data teams to define personalization objectives and measure impact through A/B testing
• Work with the food delivery domain — leveraging restaurant, user behavior, and delivery data to improve ranking and discovery

Who should apply

You should have 3–6 years of experience building recommender systems in production environments. A B.Tech degree is required. You're comfortable with Python and at least one deep learning framework (PyTorch or TensorFlow). Real-time serving, retrieval systems, and ranking pipelines are areas where you've shipped code. This is a mid-level ML Engineer role — not entry-level, but also a launching pad if you're transitioning from IC roles into personalization at scale.

Salary & offer in context

Swiggy offers ₹30–55 LPA plus ESOPs for this role (₹2.5–4.6 lakhs/month). This sits well above the Indian ML Engineer salary average for mid-level engineers, especially in Bengaluru's private-sector tech landscape. ESOPs add meaningful upside if the company grows.

Path to apply

This is a direct online application through Swiggy's careers portal — no written exam or competitive process. You apply directly to the company and move through interviews. The deadline is June 25, 2026, so don't delay if this matches your profile. On-site presence in Bengaluru is preferred.