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Google DeepMind · 2 days ago

Technical Program Manager, Antigravity (Modeling & Evals)

Mountain View, CA

Full-time

Onsite

Senior Level

$156K/yr - $229K/yr

5+ years exp

Google DeepMind is a leading team in artificial intelligence, focusing on advancing AI for public benefit and scientific discovery. The Technical Program Manager will lead initiatives across Modeling, Data, Evaluations, and User Signals, managing the lifecycle of data contributions and enhancing models in collaboration with research teams.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Responsibilities

Antigravity Data Flywheel Owner: Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams. Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams. Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis

Model Deployments: Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models

User Signals Program: Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues. Coordinate with vendors for product testing and report on key findings to the engineering and product teams

Enable Engineering and Research Team Velocity: Manage compute resources for modeling efforts and support team infrastructure needs. Act as a point of contact for resolving technical issues for the team

Qualification

Technical Program ManagementMachine Learning ModelsData PipelinesData AnalysisInterpersonal SkillsCommunication Skills

Required

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

5 years of experience in a technical program management role in a research environment

Experience working with machine learning models, data pipelines, and evaluation processes

Strong analytical skills and experience with data analysis

Preferred

Master's degree or PhD in Computer Science or a related technical field

8+ years of relevant work experience in a technical environment

Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics

Experience working with modeling research teams, including managing model training and deployment processes

Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority

Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&D environments

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees