MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics with focus on Machine Learning / Artificial Intelligence; equivalent experience will be considered
10+ years of experience developing and deploying machine learning based solutions that successfully solve challenging customer problems or enable radically new experiences.
Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training and evaluation, A/B testing, and ongoing model monitoring and maintenance.
Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, Pytorch.
Demonstrated expertise in AI/Machine Learning especially Large Language Models and associated technologies (like prompt engineering, few-shot learning, supervised fine tuning, …) with focus on Natural Language Understanding and/or Computer Vision.
Experience with Machine Learning systems on cloud platforms like AWS, GCP, or Azure is preferred.
Excellent communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audience and partner effectively with Machine Learning Engineers, Product Managers, Program Managers, and Product Development Engineers to build solutions that delight our customers.