Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++ and Python, and with data structures/algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 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.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Experience with external ML tools (e.g., PyTorch, ML Flow, WandB), or Google ML tools (e.g.,TensorFlow, TPUs).
Knowledge of statistical modeling and quantitative analysis techniques.