Senior Machine Learning Engineer

at  Adobe

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimiser’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We solve hard problems involving very large data sets (400 billion auctions a day), low latency (20 ms response time for every auction), and AI / ML. We build product experiences that customers love for generating insights and taking action. We help the largest global advertisers improve the impact of their paid media budgets by delivering connected and personalized experiences to their consumers.
As the advertisement industry evolves to embrace the key changes from being privacy-safe, the resurgence of CTV, to the proliferation of ‘Walled Gardens’, fast paced innovation and crafting differentiation with AI/ML become the cornerstone of success.

Hands-on data scientist who will release models in production.
Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using sophisticated statistical modeling, machine learning, and data analytics.
Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning, and Forecasting.
Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap.
Lead/Mentoring a diverse team of outstanding ML scientists and engineers while driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops.
Build and instill a team that focuses on sound scientific processes and encourages deep engagement with our customers.
Handle project scope and risks with data, analytics, and creative problem-solving.