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Google DeepMind

Google DeepMind

www.deepmind.google

5 Jobs

5,369 Employees

About the Company

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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

Listed Jobs

Company background Company brand
Company Name
Google DeepMind
Job Title
Intelligence Lead, Security & Privacy, GenAI (18 months Fixed Term Contract)
Job Description
**Job Title:** Intelligence Lead – Security & Privacy, GenAI **Role Summary:** Lead intelligence operations for DeepMind’s Security & Privacy organization, providing tactical and strategic insights on AI‑related threats, risks, and opportunities. Drive the intelligence function’s long‑term strategy, deliver timely intelligence to support investigations, and cultivate relationships with senior leaders, external partners, and industry peers. **Expectations:** - Manage end‑to‑end intelligence delivery cycle. - Influence decision‑making through clear, concise executive communication. - Maintain up‑to‑date awareness of the evolving AI security landscape. - Lead and coordinate with cross‑functional stakeholders and third‑party vendors. **Key Responsibilities:** - Identify opportunities and provide strategic guidance to research and product teams on AI threats, risks, and opportunities. - Define and implement the long‑term intelligence strategy, aligning plans, priorities, and resources with broader organizational goals. - Deliver timely intelligence to support internal investigations and risk management initiatives. - Build trusted relationships with senior leaders across DeepMind and Alphabet; provide actionable recommendations. - Manage external relationships with public sector representatives and industry peers for intelligence sharing and collaboration. - Apply analytic methods to assess changes in adversary capabilities, motivations, and intent, delivering insights that mitigate risks proactively. - Lead crisis response and threat assessment efforts, collecting, evaluating, and disseminating accurate intelligence to stakeholders. **Required Skills:** - 10+ years in analytical fields such as risk intelligence, threat analysis, competitive intelligence, crisis management, or business continuity. - Demonstrated ability to operate in fast‑changing research environments and drive process improvements and tooling efficiencies. - Strong executive communication—synthesizing complex details into concise, actionable insights. - Experience managing third‑party providers, budgets, purchase orders, and invoices. - Ability to lead by influence, balancing coaching and direction without micromanaging. **Required Education & Certifications:** - Bachelor’s degree in international affairs, political science, security studies, history, intelligence, or equivalent practical experience. - Relevant government security clearance (preferred). - Master’s degree and AI/ML fundamentals knowledge (advantageous). ---
London, United kingdom
Hybrid
Senior
02-12-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Software Engineer, Gemini Deployment, London
Job Description
**Job Title** Software Engineer, Gemini Deployment **Role Summary** Integrate and optimise Google DeepMind’s Gemini multimodal AI models for high‑performance, low‑latency production environments. Collaborate with research and infrastructure teams to design, deploy, and scale serving solutions across text, audio, image, and video modalities. **Expectations** - Translate cutting‑edge AI research into production‑ready systems. - Deliver efficient, scalable model serving pipelines that meet throughput and latency targets. - Continuously improve deployment automation, monitoring, and hardware utilization. **Key Responsibilities** - Bridge research and production workflows by working directly with model developers. - Design and implement high‑performance serving techniques (e.g., continuous batching, speculative decoding, request‑level scheduling). - Optimize serving infrastructure and resolve bottlenecks in speed and scale. - Automate deployment processes to eliminate redundancies and accelerate release velocity. - Develop deep expertise in serving frameworks, preprocessing pipelines, caching, and related technologies. - Profile and select optimal hardware configurations for diverse Gemini models. - Stay current with industry trends and emerging AI deployment best practices. **Required Skills** - Strong programming proficiency in C++ or Python. - Experience deploying machine‑learning models in production environments. - Proven ability to build and maintain serving infrastructure. - Knowledge of distributed ML system optimisation. - Familiarity with modern hardware accelerators (GPU, TPU). - Excellent communication and collaboration skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). ---
London, United kingdom
Hybrid
04-12-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Software Engineer, Gemini Data Tooling
Job Description
Job title: Software Engineer, Gemini Data Tooling Role Summary: Design, develop, and maintain data tooling that powers Gemini model training, enabling researchers to create and iteratively improve large language models quickly and efficiently. Expectations: Deliver high‑quality Python code for scalable data pipelines, collaborate closely with research and engineering teams to translate user needs into actionable solutions, and mentor junior members on best practices. Key Responsibilities: - Lead architecture and implementation of core data tooling, covering collection, curation, distillation, analysis, and release. - Translate researcher and engineer requirements into user‑centric tooling with strong developer experience (DevEx). - Build end‑to‑end solutions primarily in Python; design and operate distributed systems for data processing. - Mentor team members, provide technical guidance, and participate in code reviews and design discussions. - Adapt to changing priorities in LLM development and maintain high velocity. Required Skills: - B.Sc. in Computer Science, Engineering, or related field (or equivalent experience). - Proficiency in Python for scalable, robust solution development. - Experience designing and implementing distributed data systems. - Knowledge of machine learning infrastructure and data lifecycle management. - Strong UX intuition and ability to create developer‑friendly tools. - Excellent communication and collaborative problem‑solving skills. Required Education & Certifications: - Bachelor’s degree or equivalent professional experience in a technical discipline. ---
Buffalo-niagara falls, United states
Hybrid
10-12-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Software Engineer - Data Engineering, Robotics
Job Description
**Job title** Software Engineer – Data Engineering, Robotics **Role Summary** Design, build, and maintain large‑scale data acquisition, processing, and curation pipelines that support training of robotics foundation models. Own end‑to‑end data quality, implement monitoring and metrics, and collaborate with research, engineering, and operations teams to deliver high‑quality datasets for advanced embodied AI. **Expactations** * Own data lifecycle from capture to ML evaluation * Build reliable, scalable, and secure pipelines * Troubleshoot and improve data quality through analysis, testing, and experimentation * Deliver actionable insights that drive model performance improvements **Key Responsibilities** - Design and implement scalable data acquisition, processing, and curation pipelines for robotics datasets. - Perform sophisticated data analysis, debugging, and experiment design to systematically improve data quality. - Develop metrics, tests, and monitoring tools that directly impact ML model performance. - Enhance pipeline infrastructure and tooling to improve reliability, usability, scalability, and security across the full data lifecycle. - Collaborate with researchers, engineers, and operations teams to integrate data solutions into the broader AI workflow. **Required Skills** - Proficient in C++ and Python. - Experience building production data systems and quality‑focused projects. - Strong data analysis, debugging, and experimental evaluation skills. - Familiarity with large‑scale data engineering concepts and tooling. - Excellent problem‑solving and communication abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. - 2+ years of software development experience, or 1+ year with an advanced degree. - (No specific certifications required.)
Mountain view, United states
Hybrid
Junior
14-12-2025