Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
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).
3 years of experience with software design and architecture.
Preferred qualifications:
Experience in machine learning, stats, applied math, or operation research in the industry or in the academic sector.
Experience in productionizing ML systems.
Experience in Ads, AdsML, LegoML, Keras, or TFX.
Ability to write high quality and low latency code/models that can train on and serve on every query.