Senior AI/ML Engineer — End-to-End Production ML (Ads)

Google Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Mountain View, CA is seeking a Mid Senior Software Engineer focused on AI/ML for Google Research. You will drive end-to-end ML solutions, collaborate with researchers and product teams, and contribute to scalable, production-grade AI systems for advertising and information access.

The role emphasizes hands-on model development, collaboration, and delivering features with business impact in a fast-paced environment at Google Research.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning.
• 2 years of experience with Generative AI technologies, and launching features.

Responsibilities

• Design and implement solutions in ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives.
• Collaborate with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems into scalable, production-ready solutions.
• Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products and translate into features with business impact.

Skills

Software development

LLM modeling

Generative AI

Mentoring

Education

Bachelor’s degree or equivalent practical experience

PhD in CS/AI/ML

Job description

Google Mountain View, CA is seeking a Mid Senior Software Engineer focused on AI/ML for Google Research. You will drive end-to-end ML solutions, collaborate with researchers and product teams, and contribute to scalable, production-grade AI systems for advertising and information access.

The role emphasizes hands-on model development, collaboration, and delivering features with business impact in a fast-paced environment at Google Research.