About the Role
Adobe is seeking a Machine Learning Engineer to join the Administration team in Adobe Unified Platform. This group drives the enterprise business for Adobe.
This is a rare kind of role: you won't be slotting into a machine that's already running. You'll be the founding ML voice on a team of solid senior engineers who know how to ship, but who are looking to you to set the approach - to decide how models get built, trained, evaluated, and put into production. Your impact won't be measured in a single model. It'll be measured in a capability you create that the whole team builds on for years.
And the problems are real. A few of the things you could own:
- Revenue that responds to your models: As our growth targets climb, the game shifts from volume to conversion. You'll build propensity and conversion models that decide who we reach and how - work that shows up directly in the numbers the business cares about most.
- Making sense of Gen AI at scale: Everyone wants to understand how generative AI is really being used. You'll build the models that get us there:
anomaly detection, Return of Investment prediction, prompt classification - turning raw signal into insight nobody else has.
- AI that actually knows the customer: We're building an administration assistant that adapts to who it's talking to. You'll train the persona and personalisation models that make it feel genuinely intelligent - real ML, not prompt-tuning around someone else's LLM.
- Systems that learn from themselves: You'll design closed-loop models that take outcomes from live initiatives and feed them back to make the next round smarter.
You'll have the autonomy of a founder, the backing of an established team, and the reach of Adobe - where the work you ship touches hundreds of millions of people. If you want to be the ML engineer who shaped how a team builds, this is that seat.
Key Responsibilities
- Build and train deep learning models from scratch, including custom transformer an
📌 Machine Learning Engineer (Noida)
🏢 Adobe
📍 Noida