Staff Machine Learning Manager

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.

Who are we and What do we do?

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies.

What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What do we promise?

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What will you be doing?

We are looking for a Staff Machine Learning Manager to build and lead the ML function for Accelerate. You will own the entire ML stack - from defining the roadmap to hiring the team to shipping models into production. This is not a role where you inherit an existing ML system; you will architect and build the foundational ML capabilities that become the platform's core competitive moat: cross-channel intelligence that autonomously optimizes marketing spend. 

You will report to the engineering leadership and work closely with product, data engineering, and the existing platform engineering team. 

What You'll Build 

Cross-Channel Budget Allocation Engine Build optimization models that allocate a brand's total marketing budget across channels to maximize aggregate ROAS. Account for channel-specific dynamics: auction mechanics, audience overlap, frequency caps, diminishing returns curves. Move from static allocation to continuous rebalancing based on real-time performance signals. 

Bid Optimization & Pacing Develop bid strategy models that work across platforms with different auction types. Build spend pacing algorithms that distribute budget optimally across time (dayparting, day-of-week, seasonality). Model the response curves (spend vs. conversions) per channel and campaign type. 

Multi-Touch Attribution Build cross-channel attribution models that go beyond last-click to understand the true incremental value of each channel and touchpoint. Design incrementality testing frameworks to validate attribution models and feed insights back into budget allocation and bid optimization. 

Performance Forecasting Predict campaign performance (impressions, clicks, conversions, ROAS) before and during campaign execution. Build anomaly detection to flag underperforming campaigns or unusual spend patterns in real-time. 

Audience Intelligence Build audience segmentation and lookalike modeling that works across channel boundaries. Identify high-value audience segments and optimize targeting recommendations based on historical cross-channel conversion data. 

Creative Performance Prediction Predict creative asset performance before launch, identify creative fatigue signals, and connect creative attributes (copy, visuals, CTA type) to performance outcomes. 

What We're Looking For 

• 8+ years in ML/Data Science, with at least 1 year in a tech lead or management role building and shipping ML systems in production
• Strong ML breadth with depth in at least one of: optimization algorithms, recommender systems, time-series forecasting, causal inference, reinforcement learning, or auction/marketplace ML
• Hands-on technical leader: You can architect ML systems, review model code, and mentor engineers - not just manage roadmaps
• Production ML experience: You've taken models from research to production, dealt with data quality issues, and understand the gap between offline metrics and business impact
• Ads/MarTech domain experience is a strong plus: bid optimization, budget allocation, attribution, audience targeting, or media mix modeling at an ad platform, DSP, or marketing platform 

Why This Role 

• Greenfield ML with real data: The platform already has production data flowing from major ad platforms. You're not waiting for data - you're building the intelligence layer on top of a live system
• Clear business impact: Every model you build has a direct line to ROAS improvement for brands. The feedback loop between model and revenue is short
• The problem is genuinely hard: Cross-channel marketing optimization is a multi-objective, partially-observable, adversarial optimization problem. The ad platforms themselves are black boxes. Building intelligence across them is an unsolved problem at the industry level
• Full ownership: You define the ML strategy, hire the team, choose the tools, and ship the models. No inherited tech debt in the ML layer
• Scale potential: InMobi is one of the largest independent ad-tech companies globally. Accelerate is a strategic bet with executive sponsorship 

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