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!
At Adobe, we build digital experiences that change the world. How? We help people bring ideas to life by crafting content that makes life more fun and work more impactful.
We give businesses and organizations the power to truly engage their customers. We're the ones behind the gorgeously crafted content that streams across your laptop, TV, phone, and tablet every day and the ones who harness the substantial power of big data to help companies find and reach the people who have an appetite for that content.
We do it with energy, passion, and curiosity, and we're backed by our rich heritage and culture of innovation. We're looking for exceptional talent to join us.
Adobe is looking for a Staff Machine Learning Engineer who will be exciting problems in building the next generation of marketing cloud products by using machine learning, predictive modeling and optimization techniques.
These products would help businesses understand, manage, and optimize the experience throughout the customer journey. Example applications include real-time online media optimization, media attribution, predictive sales analytics, product recommendation, mobile analytics, predictive customer scoring and segmentation and large-scale experimentation.
Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development.
Familiarity working with large-scale datasets and techniques would be a plus.
What you'll do
What you need to succeed