12 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Design and implement solutions in specialized machine learning areas while leveraging ML infrastructure.
- Design, build, and productionize machine learning models for user intent and advertiser objectives.
- Translate LLM, reinforcement learning, and agentic-system research prototypes into scalable, production-ready solutions.
- Own the end-to-end ML lifecycle and launch advertising products with significant business impact.
- Collaborate with Research Scientists and Product teams.
- Contribute to academic publications and the scientific community.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of software development experience in one or more programming languages.
- At least 2 years of experience with LLM modeling, including pre-training or fine-tuning.
- At least 2 years of experience with generative AI technologies and launching features.
- Preferred: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Preferred: 5 years of experience with data structures and algorithms.
- Preferred: experience driving end-to-end production launches for machine learning features in high-traffic, latency-critical systems.
- Preferred: experience with reinforcement learning or agentic systems.
- Preferred: demonstrated publication record at academic conferences such as NeurIPS, ICML, and ICLR.
Categories
AI ResearchML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.