Staff Machine Learning Manager

About this role

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Skills you'll use

What you'll do

• 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
• 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

Who can apply

• 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

About InMobi

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