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, the candidate will be building various products that address challenging business problems through our customers’ full lifecycle, from customer analytics to marketing media optimization.
Requirements
- 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, Scala, 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.
Responsibilities
- Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics 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.
Other
- PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
- 0-2+ years of experience in specific skill/field(s)
- Excellent communication, relationship skills and a strong team player.
- The U.S. pay range for this position is $102,400 -- $196,300 annually.
- Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
