Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with design and architecture, and testing/launching software products.
Preferred qualifications:
Experience with Machine Learning, Distributed Computing, Build Infrastructure, and Cluster Management.
Experience with C++, Python, Machine Learning Infrastructure, Compilers, Computer Architecture, Debugging, etc.
Experience in a technical leadership role, with the ability to lead complex, cross-functional engineering projects from conception to completion.