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InMobi

SDE IV (ML Engineering)

Lucknow, India

Location
Lucknow, India
Work
Not stated
Employment
Full-time
Level
Senior
Function
Engineering
Pay
Not stated
Posted
7 weeks ago

About the role

InMobi (Corporate)

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.

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.

What you'll do

  • Turn the Data Scientist's findings into production systems: finetuning/distillation pipelines, routing algorithms, cost-optimization logic
  • Build data pipelines and platform components as owned products with real interfaces, not one-off scripts
  • Own the engineering rigor of shared evaluation infrastructure so both model work and algorithm work rely on the same trusted foundation
  • Ship, monitor, and iterate on what's in production, closing the loop back to the Data Scientist on what's working

What we're looking for

  • Strong software/ML engineering fundamentals — production code quality, comfort building and shipping pipelines and services
  • Genuine willingness to learn model finetuning and distillation on the job — prior experience is a plus, not a requirement
  • Algorithmic thinking for routing/optimization problems under cost, latency, and non-determinism constraints
  • Comfortable working from someone else's analysis rather than always originating the “what should we build” question

Since 2007, InMobi has built the extraordinary. Beyond just technology. It has built a way of working.

Across 16 offices globally, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another.

Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best.

This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role.

If this sounds like the place you have been looking for, join us.

Find out more here: InMobi Culture

Source

Posted by InMobi on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 02:26 UTC; the original is the reference.

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