Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year 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.
1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science, or a related technical field.
2 years of experience with data structures or algorithms.
1 year of experience with scaling AI deployments.
Experience in deploying AI on Kubernetes clusters.
Knowledge of running Large Language Models (LLM) at scale in confidential compute configuration.
Understanding of how AI works and the requirements for running AI inference in a cluster.