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 is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers! Partnering with the business units, you will be working on the development of various data science models that address challenging business problems including customer conversion scoring and optimization, customer churn scoring and management, customer skill prediction, customer intent prediction and engagement measurement!
These products would help businesses understand and lead their customers’ full lifecycle, from customer analytics to marketing media optimization. By demonstrating predictive models, experimental design methods, and optimization techniques, the selected candidate will be working on the research and development of various products that address challenging business problems including real-time online media optimization, marketing mix modeling and planning, media attribution, leads scoring, sales operation analytics, customer conversion scoring and optimization, customer churn scoring and management and social network analysis.
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 big data techniques would be a plus.
Develop predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques
Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
Collaborate with product management and engineering groups to develop new products and features
PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or other related fields.
Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
Proficient in one or more programming languages such as Python, Java and C
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
Knowledge and experience of working with relational databases and SQL
Strong analytical and quantitative problem solving ability.
Excellent communication, relationship skills and a strong team player.
Experience with big data techniques (such as Hadoop, MapReduce, Spark)
Knowledge of deep learning, experimental design, ANOVA, statistical inference, and multivariate testing
Knowledge of numerical or combinatorial optimization