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, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with Python and C++.
Nice to haves:
2 years of experience with data structures or algorithms.
Experience in full-cycle development and productionization of Machine Learning systems.
Experience in distilling and deploying production-grade LLMs.
Experience with Kotlin.
What you'll be doing:
Own projects from initial ideas to design, analysis, and implementation.
Collect, analyze, and visualize data from various sources to formulate and test hypotheses.
Design and implement ML systems from training data composition to hyperparameter tuning to post-deployment monitoring and optimizations.
Understand and build upon the latest technologies such as Gemini foundational models using distillation and fine-tuning.
Perks and Benefits:
Working on next-generation technologies with a global impact.
Opportunities to switch teams and projects as the business grows.
Impact on billions of people globally by working on Google Search.