Bachelor's degree or equivalent practical experience.
8 years in software development, with 5 years in machine learning or related fields.
2 years in a management or leadership role.
Experience with training and launching recommender system models.
Applied machine learning experience for recommendation or search platforms.
Responsibilities
Manage and develop a diverse team of engineers, fostering a high-performance culture.
Collaborate with DeepMind and Infra teams to oversee models from research to production.
Define and execute the technical strategy for user modeling in collaboration with tech leads and product management.
Lead the redesign of interest vocabulary and unify token models for next-gen architecture.
Enhance experimentation practices by investing in predictive offline evaluations and efficient iteration processes.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Retirement savings plans with company matching.
Access to professional development resources and training.
Employee assistance programs for personal and professional support.
Full Job Description
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, including 5 years in machine learning, recommendation, personalization, ads or search quality.
2 years of experience in a people management or team leadership role.
Experience training, evaluating, or launching models for recommender systems.
Experience with applied machine learning for recommendation, retrieval, or search platforms.
Preferred qualifications:
Experience re-architecting production ML systems while maintaining downstream compatibility and stability.
Management experience, leading a team of 5 or more engineers.
Knowledge of modern recommender-system and ML techniques (e.g., user modeling, embedding-based and two-tower retrieval, sequence models and Transformers, distillation, multi-task and multi-objective learning, and applying LLMs to recommendation).
A track record of leading ML projects from design to launch that require coordinating multiple teams.
Excellent written and verbal communication, and the ability to align stakeholders with different priorities.
Responsibilities
Manage and grow a team of engineers, mixing senior technical leads and early-career engineers, while developing each engineer's career and building a high-velocity team culture.
Partner closely with DeepMind and Infra teams, and own our models end-to-end, from research ideas to production launches, at a scale few places can offer.
Set and own the multi-quarter technical strategy and roadmap for token-based user modeling with the team's tech leads, product management , and partner teams.
Drive the rebuild of interest-vocabulary redesign, unification of the token models, and the next-generation model architecture by making sound technical trade-offs and running thorough design reviews.
Raise the bar on experimentation and evaluation by investing in offline evaluation that predicts online results (including LLM-based autoraters), faster iteration loops, and disciplined live-experiment and launch practices.
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.
