SDE II - ML

Glance is hiring a SDE II - ML in Bangalore.

Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. InMobi InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of bu

Requirements

• Engineering Foundations: Strong coding skills in Python or Java, with solid background in distributed systems.

• ML Serving & Tools: Hands-on experience with model serving tools (Triton, vLLM, TorchServe), vector databases (Qdrant, Faiss), feature stores & databases.

• Evaluation Systems: Experience building testing pipelines, regression suites, or shadow deployment setups for ML services.

• Execution & Ownership: Comfortable navigating technical ambiguity, moving quickly, and shipping code in fast-paced teams.

You might thrive in this role if you have:

• BTech or MTech in Computer Science, Machine Learning, or a related technical field.

• 3+ years of software engineering experience, with 2+ years focused on ML infrastructure, model serving, or recommendation systems.

• Hands-on experience deploying recommendation pipelines, vector search, or feature stores to production.

• Proficiency in Python, system profiling, and query performance tuning.

• Experience setting up model monitoring and maintaining high-throughput production ML systems.

• Ability to collaborate closely with Applied Science teams to turn models into production services.

• Self-directed, curious, and comfortable building solutions from 0→1.

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About Glance

We are looking for an SDE 2, Machine Learning to help build the core systems behind Glance's AI shopping agent. In this role, you will work on low-latency ML inference platforms, automated evaluation harnesses, and rapid 0→1 prototyping for new AI shopping features. You will also partner directly with applied scientists and backend engineers to take experimental ML models into reliable production environments. What You Will Own & Build