Google DeepMind

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 Name

Google DeepMind

Job Title

Research Engineer, Post-Training for Code Security Analysis

Job Description

**Job title:** Research Engineer, Post-Training for Code Security Analysis **Role Summary:** Develop and optimize post‑training strategies (SFT, RLHF, RLAIF) to improve Gemini’s performance on code security tasks, create evaluation pipelines, and design benchmarks that assess security reasoning, control flow, memory safety, and software weakness detection. **Expactations:** Deliver high‑impact research findings, collaborate effectively with cross‑functional teams, iterate quickly with a fail‑fast mindset, and maintain clear communication of technical progress. **Key Responsibilities:** - Design, implement, and iterate advanced post‑training algorithms for code‑security fine‑tuning. - Diagnose training regressions and security reasoning gains, proposing actionable improvements. - Define and monitor key metrics, adapting system performance through continuous evaluation. - Build automated evaluation pipelines that correlate strongly with human security expert judgment. - Construct and maintain complex benchmarks probing the limits of security reasoning in large language models. **Required Skills:** - Strong statistical analysis and understanding. - Experience with fine‑tuning and adapting large language models (prompting, SFT, RLHF). - Proficiency in deep learning frameworks (TensorFlow, JAX, PyTorch). - Systems design expertise and solid knowledge of data structures. - Applied research experience improving transformer training/serving efficiency. - Excellent communication and collaborative skills. **Required Education & Certifications:** - BSc, MSc, or PhD/DPhil in computer science, statistics, machine learning, or related field.

Mountain view, United states

Hybrid

31-12-2025

Company Name

Google DeepMind

Job Title

Nuclear Engineer (2 year Fixed Term Contract)

Job Description

Job Title: Nuclear Engineer – Radiological & Nuclear Safety Evaluations (Fixed‑Term Contract) Role Summary Lead the design, development, and execution of radiological and nuclear safety evaluations for cutting‑edge AI models within Google DeepMind’s Responsible Development & Innovation team. Serve as the subject‑matter expert, translating nuclear engineering principles into evaluation frameworks, analyzing results, and informing decision‑makers on AI safety and mitigation strategies. Expectations - Apply advanced nuclear engineering knowledge to assess and mitigate risks associated with AI model deployment. - Deliver clear, actionable insights to interdisciplinary teams and senior decision‑makers. - Engage collaboratively with scientists, AI ethics professionals, and policy experts to shape harm frameworks and mitigation actions. Key Responsibilities - Design, develop, and conduct radiological and nuclear safety evaluations (exam‑style assessments) for AI systems. - Build and maintain evaluation infrastructure, including scenario creation, question generation, and goal‑directed studies such as red‑team and capability elicitation. - Analyze evaluation outputs, synthesize findings, and communicate results to technical and non‑technical stakeholders. - Contribute to the refinement of harm frameworks, mitigation strategies, and overall safety posture of AI releases. - Collaborate with cross‑disciplinary experts (chemistry, biology, nuclear physics, AI ethics, policy) to integrate diverse perspectives. - Identify and evaluate potential misuse scenarios of emerging AI technologies from a nuclear safety standpoint. Required Skills - Deep expertise in nuclear engineering, radiation physics, or related fields. - Proficiency in radioactive material handling, radiation transport modeling, criticality safety analysis. - Experience with reactor systems, fissile material characterization, or explosive coupling (preferred). - Strong analytical and creative thinking for misuse scenario development. - Excellent technical communication and presentation skills. - Familiarity with narrow science AI models (e.g., AlphaFold, Enformer, or analogous specialized models). Required Education & Certifications - PhD in Nuclear Engineering, Nuclear/Particle Physics, or Radiation Physics (post‑doctoral experience preferred but not mandatory). - Background in weapons research or dual‑use technology assessment is advantageous (e.g., NNSA, DOE/NRC, or national laboratories experience). - Knowledge of IAEA, NRC/DOE regulations and AI safety frameworks desirable. ---

Mountain view, United states

Hybrid

01-02-2026

Company Name

Google DeepMind

Job Title

Research Scientist, Robotics

Job Description

**Job Title** Research Scientist, Robotics **Role Summary** Lead cutting‑edge research in embodied AI, designing, training, and evaluating large‑scale machine learning models for robotic agents. Translate research concepts into software prototypes, conduct experiments, and publish results while collaborating with cross‑functional teams. **Expectations** - Deliver high‑impact research that advances robotic understanding and capabilities. - Rapidly prototype and iterate algorithms, ensuring reproducibility and scalability. - Communicate findings through clear reports, presentations, and peer‑reviewed publications. - Maintain rigorous documentation of experiments and code. - Engage in continuous learning of emerging ML techniques and robotics methodologies. **Key Responsibilities** - Design, implement, and evaluate large models and algorithms for robotic agents. - Write performant software to prototype research ideas and accelerate iteration cycles. - Conduct research across simulation, reinforcement learning, demonstration learning, vision‑language‑action models, transformers, video generation, robot control, and humanoid robotics. - Set up experiments, generate creative hypotheses, and test them under real‑world conditions. - Collaborate with multi‑disciplinary teams to meet ambitious research milestones. - Report and present results internally and to external stakeholders. **Required Skills** - PhD or equivalent advanced research experience in machine learning, robotics, or related technical field. - Deep knowledge of large‑scale machine learning research (e.g., transformers, reinforcement learning, vision‑language models). - Proficiency in Python, deep learning libraries (TensorFlow, PyTorch) and software engineering best practices. - Experience with robot simulators and real‑world robot platforms (e.g., ROS, Gazebo). - Ability to work independently and in fast‑paced, collaborative environments. - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications** - PhD in Computer Science, Electrical Engineering, Robotics, or a related technical discipline (equivalent practical experience acceptable). - Familiarity with large‑scale dataset handling and deep neural network training.

Mountain view, United states

On site

02-02-2026

Company Name

Google DeepMind

Job Title

Senior Software Engineer, Gemini App

Job Description

**Job Title** Senior Software Engineer, Gemini App **Role Summary** Design, develop, and ship end‑to‑end software features that integrate multimodal Gemini generative AI models into the user experience. Work across front‑end, back‑end, and model layers, collaborating closely with research and product teams to translate cutting‑edge AI innovations into production‑ready products. **Expectations** - Deliver high‑quality, production‑grade software on schedule. - Embrace ambiguity and make decisive trade‑offs to move projects forward. - Communicate effectively across cross‑functional teams and mentor junior engineers. - Prioritize tasks in a fast‑paced, dynamic environment with multiple stakeholders. **Key Responsibilities** - Analyze critical user journeys for target segments (e.g., small business owners) and identify opportunities for improvement. - Lead full‑stack implementation of new features, from UI to backend services to AI model integration. - Partner with researchers to understand latest generative‑AI advances and apply them to the app. - Conduct data‑driven analysis to uncover UX bottlenecks and design solutions that enhance model performance. - Collaborate with model‑development teams to refine and optimize Gemini models for production use. **Required Skills** - Proficient in Java, C++, or Python in production environments. - Proven experience building software from prototype to production. - Strong written and verbal communication; reliable team player. - Shipping mindset with a track record of delivering features in ambiguous settings. - Ability to prioritize effectively in a fast‑paced environment. **Required Education & Certifications** - BS, MS, or PhD in Computer Science, a related technical field, or equivalent practical experience. ---

Mountain view, United states

Hybrid

Senior

04-02-2026