Technical Lead Manager Megamind Contributor Trust Modeling

Minimum qualifications:

• Bachelors degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design, ML architecture, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with Generative AI and AI Algorithms.
  
  

Preferred qualifications:

• Experience in a specific ML domain relevant to the teams work, such as Natural Language Processing (NLP), Generative AI and Graph Neural Networks (GNNs).
• Experience with MLOps practices, including model monitoring, versioning and CI/CD pipelines for ML
• Experience in translating high-level business goals into concrete technical deliverables and long-term technical strategies.
  
  

About the jobGoogles software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Were looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Technical Lead Manager for the Contributor Trust Modeling team in Geo, you will drive improvements to Google Maps information quality by leveraging ML to identify user intent and distinguish trustworthy from abusive behavior. You will mentor engineers, guide ML system development and deployment, and set the teams technical direction in collaboration with cross-functional teams to enhance experiences for Google Maps users and local merchants.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities

• Partner with cross-functional partners teams to evolve strategy while guiding the team to enhance solution quality.
• Drive development to improve understanding of contributors’ intent, reliability, skills, and expertise, creating a positive user experience.
• Contribute through machine learning systems and cross-functional partnerships.
• Work on projects across technical domains including ML modeling, feature engineering, quality experimentation, data pipelines, low-latency infrastructure and production stability.
• Collaborate with teams and cross-functional partners across Maps and Google.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

---