Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
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 leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
Experience in adversarial testing, red teaming, GenAI/AI safety, GenAI/AI ethics or responsibility, or similar.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience in AI/ML security research, including areas like adversarial machine learning, prompt injection, model extraction, or privacy-preserving ML.