Apply on Employer Site

Google DeepMind · 23 hours ago

Technical Program Manager, Post-Training, Core Model

Mountain View, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$227K/yr - $320K/yr

10+ years exp

Google DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. The Technical Program Manager will drive impact across the model lifecycle, ensuring high-quality model deliveries by collaborating with cross-functional teams and managing complex engineering projects.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Responsibilities

Model Training: Collaborate closely with the modeling team to support core model training, meticulously track priorities, issues; deeply understand evaluation and experimentation results; coordinate alignment and, assessment with model capability teams; drive testing and feedback collection to inform ongoing model development

Model Metrics & Evaluation: Possess a deep understanding of AI model evaluation methodologies. Collaborate with data scientists to design and integrate model evals, execute evals, and conduct loss analysis to inform model quality

End-to-End Model Release: Own the end-to-end model release cycle. Manage checkpoint upload, generate comprehensive documentation, coordinate serving/deployment, capacity planning, and rigorous cross-functional testing. Provide proactive status updates to stakeholders, and effectively triage model issues back to the modeling team

High Level Strategy and Hands-On Execution: Drive strategic vision and tactical delivery. Lead with high agency. Proactively identify workflow gaps and implement scalable improvements to optimize efficiency and output quality

Scope and drive complex, ambitious programs, Manage simultaneous projects balancing immediate deliveries with long-term strategic success

Demonstrate strong technical expertise in modeling, evaluations, and/or model deployment

Thrive in rapidly evolving, ambiguous project environments, adeptly adjusting plans and strategies as project conditions change

Unite diverse teams for fast-paced execution and deliveries

Be the trusted owner of project status, proactively identifying dependencies, risks, and issues, ensuring clear progress and visibility across stakeholders

Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders

Be highly organized, self-motivated, consistently drive process improvements, streamlining and simplifying execution, and identifying tooling efficiencies if applicable

Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership

Qualification

Model TrainingAI Model EvaluationProject ManagementTechnical AcumenStakeholder ManagementAnalytical SkillsTeam BuildingCommunication SkillsOrganizational Skills

Required

BS degree in Computer Science, Engineering, or related technical field

10+ years of leading large-scale highly complex engineering projects, preferably across multiple geographies and time zones

Strong technical acumen - ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions

Experience in model training and model releases

Excellent skills in managing complex stakeholder relationships

Preferred

Demonstrated success in fast-paced program execution and deliveries

Ability to interact with diverse technical and non-technical audiences, spanning all functions and organizational levels

Excellent organizational, analytical, prioritization, communication and influencing skills. Ability to manage multiple concurrent complex interactions with geographically disparate teams

Exceptional skills influencing, team building, and delivering solutions in a highly complex, always changing, and nebulous environment

Self driven, excellent oral/written communication, interpersonal, and analytical skills. Outstanding organizational, prioritization, and multitasking skills

Strong understanding of ML/AI principles and their distinctions from traditional software development

Hands-on experience program managing AI model training

Have well-rounded experience including working with research as well as delivering to production usage (deployment and launches)

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