We are seeking a People & Experience Delivery Partner to join our Central Operations, Responsibility, and Engagement team at DeepMind. As a People & Experience Delivery Partner, you will work closely with our Leaders and Managers to provide responsive day-to-day People & Culture (P&C) support and generalist advice.

The People & Culture (P&C) Experience & Delivery Partner team provides trusted advice to Google DeepMind's Leaders and Managers on policies, processes, and best practices related to key P&C topics. You will work in close partnership with GDM P&C Partners to build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&C needs of the organisation and drive high performance across GDM.

Key Responsibilities:

• Dynamic Coaching & Advisor: Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&C topics including performance management, development, employee lifecycle processes, policy exceptions.

• Operational Excellence: Execute and deliver P&C initiatives, projects, and cyclical processes, advising and collaborating with cross-functional teams.

• Employee Experience Insights: Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.

About You:

• Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P&C policies, trends, and best practices.

• Communication & interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences.

• Critical thinking & problem-solving: You apply analytical and problem-solving skills to complex organisational challenges.

In addition, the following would be an advantage:

• Experience in working with global teams and navigating cultural differences.

• Experience in designing and delivering training programs, and process design.

• Experience in using data to drive HR decisions.

• Knowledge of HR trends and best practices.

A degree or professional certification in Human Resources Management or a related field

This is an exciting and varied generalist role. The role is embedded in our People Operations team, which sits within the wider People and Culture (P&C) team, and reports to a P&C Experience & Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P&C Partners within specific locations and Units.

XML job scraping automation by YubHub

Your job will be to understand the implications of generative AI on the broader societal information ecosystem. You will tackle critical challenges surrounding misinformation, advance the detection and provenance of genAI content, and analyze the shifting economics of information in a society augmented by AI.

Key responsibilities:

• Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust.
• Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies.
• Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content.
• Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future.
• Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products.
• Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust.

In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field.
• Deep understanding of AI models and their implications for content generation and dissemination.
• Demonstrated experience in building AI products rooted in trust & safety, information retrieval, content provenance, or misinformation detection.
• A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems.
• Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems.
• Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools.
• Strong ability to communicate complex technical and societal concepts with great simplicity.
• Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads.

XML job scraping automation by YubHub

This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.

Key Responsibilities

• 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.
• Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.
• 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.
• Manage compute resources for modeling efforts and support team infrastructure needs.
• Act as a point of contact for resolving technical issues for the team.

About You

To be successful as a Technical Program Manager at DeepMind, we look for the following skills and experience:

• 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.

In addition, the following would be an advantage:

• 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.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits.

XML job scraping automation by YubHub

At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. This role offers the unique opportunity to address a historically underserved but increasingly critical area in the advancement of AI.

Responsibilities:

• Decide the precision, numerics, and sparsity formats used by key Google AI models and ensure these decisions are reflected in the roadmaps for corresponding hardware.
• Drive novel research advancements and bring the most impactful ideas into production.

About You:

To set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science or related field with at least 2+ years of relevant experience.
• Strong software-engineering skills in addition to a research background.
• Deep understanding of the numerics/quantization/sparsity literature.
• Practical experience driving low precision and sparse models through to production.

XML job scraping automation by YubHub

Key responsibilities include:

• Driving the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams.
• Managing the evaluation process for new and existing models, and providing feedback to the modeling and research teams.
• Partnering with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.
• Managing approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.
• Establishing and refining systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues.
• Coordinating with vendors for product testing and reporting on key findings to the engineering and product teams.
• Managing compute resources for modeling efforts and supporting team infrastructure needs.
• Acting as a point of contact for resolving technical issues for the team.

To succeed as a Technical Program Manager at DeepMind, we look for the following skills and experience:

• A 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.

In addition, the following would be an advantage:

• A 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.

XML job scraping automation by YubHub