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Glance
Bangalore
Source: Glance careers · View original posting
From Glance's posting. “We” and “our” refer to the employer.
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 businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.
InMobi Advertising
InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.
To learn more, visit advertising.inmobi.com.
SDE 3, Machine Learning
We are looking for an SDE 3, Machine Learning to lead the technical architecture for Glance's AI shopping agent. You will own the core engineering for our ML Inference Platform, Evaluation Harnesses, and rapid 0→1 prototyping frameworks. In this role, you will set technical standards, design reliable distributed ML systems, and work across teams to scale complex agentic workflows.
Architect low-latency recommendation inference systems, distributed vector search, feature store integrations, and real-time streaming updates.
Build comprehensive offline and online evaluation pipelines, golden dataset testing tools, tool-call tracking, and automated regression suites.
Lead the engineering execution for rapid 0→1 prototyping of AI shopping agent features—building flexible orchestration runtimes, tool registries, and gateway middleware.
Partner with Applied Science, Product, and Data Platform teams to translate complex research concepts into clean, production-grade systems.
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