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 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:
Understanding of genAI model development from pre-training to product fine-tuning, use-case specific definition of high-quality for the data and pragmatically balancing trade offs for research, privacy, product usage is important.
Understanding of ML Systems and Infrastructure for production with technical knowledge to be credible with customers and engineers.
Ability to track record of ideation and innovation of technology at scale and passion for development and the use of cross-platform shared code.