What you'll Do

• Develop innovative models in partnership with Adobe Research.
• Design and build applications powered by predictive models, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying on Cloud services, CICD, etc., as well as implementing ML-Ops best practices.
• Understand data to make recommendation for the right predictive models, quality metrics and governance approaches.
• Engage in product lifecycle – architecture, design, deployment, and production operations.

What you need to succeed

The ideal candidate will have the following background:

• MS or PhD degree in Computer Science, Data Science or related field required.
• 3 to 5 years of applied AI/ML experience - developing, evaluating ML models, and deploying models into production.
• Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these method
• Experience in or knowledge of building large scale data pipeline
• Ability to quickly learn new skills and work in a fast-paced team.
• Proficient in one or more programming languages such as Python, Scala, Java, SQL.
• Proficient in ML frameworks such as scikit-learn, SparkML, TensorFlow or PyTorch.
• Experience working with both research and product teams.
• Excellent problem-solving and analytical skills
• Excellent communication and relationship building skills