Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in either of the (C++ or Python) programming languages.
5 years of experience leading ML design and optimizing 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, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
Experience in working with Machine Learning (ML)/Generative Artificial Intelligence (GenAI) infrastructure.
Experience with general Machine Learning.
Experience leading and coaching teams of ML, or Software Engineers.
Experience as a technical leader with current, hands-on expertise, capable of building strong relationships and developing impactful tools that empower engineers.
Understanding of ML research and development workflows.
Ability to work effectively in a fluid environment with a high degree of ambiguity.