Senior AI/ML Research Engineer - LLMs & Production Systems

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. You will work on ML and AI-driven ad systems, building production-ready models and scalable solutions for high-traffic environments.

Join a team that collaborates with Research Scientists and Product teams to turn prototypes into impactful features, publish findings, and advance Google’s monetization with rigorous engineering practices.

Qualifications

• Bachelor’s degree or equivalent practical experience is required.
• PhD in CS/AI/ML or related field is preferred.
• 5 years of experience with data structures and algorithms.
• Experience driving end-to-end production launches for ML features in high-traffic, latency-critical systems.
• Experience with RL or agentic systems.
• Publications at NeurIPS/ICML/ICLR are a plus.

Responsibilities

• Design and implement ML solutions and leverage ML infrastructure.
• Design, build, and productionize ML models to understand user intent and advertiser objectives.
• Collaborate with Research Scientists and Product teams to translate concepts from LLMs, RL, and agentic systems into scalable solutions.
• Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products.
• Contribute to the scientific community with opportunities to co-author publications for academic conferences.

Skills

Software development

LLM modeling

Generative AI

Programming languages

Education

Bachelor’s degree or equivalent practical experience

PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

Tools

Reinforcement Learning

Agentic systems

Job description

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. You will work on ML and AI-driven ad systems, building production-ready models and scalable solutions for high-traffic environments.

Join a team that collaborates with Research Scientists and Product teams to turn prototypes into impactful features, publish findings, and advance Google’s monetization with rigorous engineering practices.