Lead complex projects that require cross-organizational alignment and collaboration
Analyze complex datasets used to make decisions regarding real-world applications
Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
Write software code that is built and deployed in production systems
Anticipate and consider risks when building machine learning solutions and prediction/classification systems
Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
Work transparently cross-functionally and influence your peers to do the same.
Required qualifications, capabilities and skills:
Master’s degree with 7 + years of experience of or Ph.D. in Computer Science or Machine Learning related degree with good internships and about 2 + years of work experience
Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
Comfortable conducting design and code reviews
Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment