Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience implementing core Machine Learning (ML) concepts.
Experience in TensorFlow.
Nice to haves:
Experience in applied machine learning at scale.
Experience in designing, analyzing, launching and serving Machine Learning (ML) models preferably with TFlex.
Experience in Colaboratory, TensorFlow, C++, Python.
Familiarity with micro-services and issues and solutions specific to such systems, like failures/retries, latency distributions and request hedging, replication delays, etc. and building distributed systems.
What you'll be doing:
Contribute towards the gating (e.g., video selection) infrastructure and/or the multi-agent Large Language Model (LLM) workflows.
Learn and step in to maintain existing infrastructure (automated model releases/calibration, first-party Client Generative AI protections).
Perks and benefits:
Opportunity to work on cutting-edge technologies at Google.
Collaborative work environment with opportunities to switch teams and projects.
Be part of a diverse and inclusive workforce at YouTube.