Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing end-to-end Machine Learning processes.
2 years of experience with GenAI techniques or concepts.
Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
Experience with Large Language Models (LLMs) and Natural Language Processing.
Responsibilities
Design and implement next-generation multimodal and encoder architecture for advanced models.
Lead the migration to next-generation Gemini models for Content Safety's teacher stack.
Develop a low-latency, high-precision retrieval system for policy enforcement.
Create a Model Debug and Gap Mitigation Agent for diagnosing distillation gaps.
Provide technical leadership on high-impact AI/ML projects.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Opportunities for professional development and training.
Access to cutting-edge technology and resources.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
Experience with Large Language Models (LLMs), Natural Language Processing, or Generative AI.
Preferred qualifications:
Master's degree or PhD in Computer Science, a related field, or equivalent practical experience.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience as a full-lifecycle ML engineer in training dataset curation, modern neural architectures, evaluation frameworks, and post-deployment iterations.
Ability to work with cross-functional teams.
Responsibilities
Design and roll out the next-generation multimodal and encoder architecture across workhorse models, integrating frame-level video embeddings in partnership with Google DeepMind.
Lead the evolution of Content Safety's teacher stack by migrating to next-generation Gemini models and establishing In-Context Learning Video.
Lead the design of Policy enforcement RAG (PeRAG), a low-latency, high-precision retrieval system backed by a unified Long-Term Memory service.
Lead the design of a greenfield Model Debug and Gap Mitigation Agent to automatically diagnose teacher-student distillation gaps.
Provide technical leadership on high-impact projects.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
