What you’ll do
Develop predictive models on large-scale datasets to address various business problems through leveraging 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.
What you need to succeed
PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or other related fields.
Deep understanding of knowledge graphs, deep learning, statistical modeling, machine 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
Making our technology accessible to all
We believe everyone should have equal access to technology and its benefits. To help achieve this, Adobe is focused on making software more accessible for everyone. When we hire for engineering, development and design roles, we look for the following accessibility skills:
Base knowledge of the W3C’s Web Content Accessibility Guidelines v2.0
Exposure to current tools used by people with disabilities (screen readers and other assistive technologies)
Experience with accessibility evaluation and validation software
Understanding of input and output modes used by people with disabilities