Staff Machine Learning Manager

InMobi Advertisingis a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150 countries and turns real-time context into business outcomes delivering results grounded in privacy-first principles. Trusted by 30000 brands and leading publishers InMobi is where intelligence creativity and accountability converge. By combining lock screens apps TVs and the open web with AI and machine learning we deliver receptive attention precise personalization and measurable impact.

Through Glance AIwe are shaping AI Commerce reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology Glance AI transforms every screen into a gateway for instant personal and joyful discovery. Spanning diverse categories such as fashion beauty travel accessories home décor pets and beyond Glance AI delivers deeply personalized shopping rich first-party data and unparalleled consumer access it harnesses InMobis global scale insights and targeting capabilities to create high impact performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work and by MIT Technology Review Fast Companys Top 10 Innovators and more InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank Kleiner Perkins and Sherpalo Ventures InMobi has offices across San Mateo New York London Singapore Tokyo Seoul Jakarta Bengaluru and beyond.

AtInMobi Advertising youll have the opportunity to shape how billions of users connect with content commerce and brands worldwide. To learn more visit

Who are we and What do we do

InMobi Groups 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 Companys 2018 Worlds Most Innovative Companies.

Whats 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 aStaff Machine Learning Managerto 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 platforms core competitive moat: cross-channel intelligence that autonomouslyoptimizesmarketing spend.

You will report tothe engineeringleadership and work closely with product data engineering and the existing platform engineering team.

What Youll Build

Cross-Channel Budget Allocation EngineBuild optimization models thatallocatea brands total marketing budget across channels to maximize aggregate ROAS. Account for channel-specific dynamics: auction mechanics audience overlap frequency caps diminishingreturnscurves. Move from static allocation to continuous rebalancing based on real-time performance signals.

Bid Optimization & PacingDevelop bid strategy models that work across platforms with different auction types. Buildspendpacing 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 AttributionBuild cross-channel attribution models that go beyond last-click to understand the true incremental value of each channel and touchpoint. Design incrementality testing frameworks tovalidateattribution models and feed insights back into budget allocation and bid optimization.

Performance ForecastingPredict campaign performance (impressions clicks conversions ROAS) before and during campaign execution. Build anomaly detection to flag underperforming campaigns or unusualspendpatterns in real-time.

Audience IntelligenceBuild audience segmentation and lookalike modeling that works across channel -value audience segments andoptimizetargeting recommendations based on historical cross-channel conversion data.

Creative Performance PredictionPredict creative asset performance beforelaunchidentifycreative fatigue signals and connect creative attributes (copy visuals CTA type) to performance outcomes.

What Were Looking For

• 8 years in ML/Data Science with at least 1 year in atech lead or management rolebuilding and shipping ML systems in production

• Strong ML breadthwith 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:Youvetaken models from research to production dealt with data quality issues and understand the gap between offline metrics and business impact

• Ads/MarTechdomain experienceis 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 waiting for data -yourebuilding 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:InMobiis one of the largest independent ad-tech companies globally. Accelerate is a strategic bet with executive sponsorship

The InMobi Culture

At InMobi culture isnt a buzzword; its an ethos woven by every InMobian reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values thinking big being passionate showing accountability and taking ownership with freedom guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit to better understand our benefits values and more!