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We&#39;re pursuing a ground-breaking research program in materials, aiming to accelerate the discovery of new functional materials by combining the predictive power of artificial intelligence (AI) and computational simulation with automated experimentation.</p>\n<p>As a Research Engineer, Materials Science, you&#39;ll join an interdisciplinary team of domain experts, ML researchers, and engineers exploring a diverse set of important scientific problems in materials science, physics, quantum chemistry, and other areas. Our work is organised into several longer-term focus areas, which aim to achieve step changes to the state-of-the-art.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Use your domain knowledge in the sciences (if applicable) to design, develop, and implement high-performance simulations, tools, and analysis workflows.</li>\n<li>Apply your software engineering expertise to produce high-quality, reusable code and components to tackle meaningful strategic problems.</li>\n<li>Share ideas with other specialists in the team and be highly collaborative, striving to cultivate a culture of continuous development and advancement.</li>\n<li>Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems.</li>\n<li>Incorporate your passion for software engineering and high-performance computing to enable running scientific calculations at scale and accelerate scientific discovery.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>Dedicated software engineer with experience in software design and development, obtained either through a degree or applied experience.</li>\n<li>Proven experience in Python, C++, and interoperability between the two.</li>\n<li>Experience with concurrent and distributed software algorithms and architectures.</li>\n<li>Experience applying software engineering principles in a scientific research environment.</li>\n</ul>\n<p>In addition, one or more of the following would be strongly preferred:</p>\n<ul>\n<li>Scientific knowledge (particularly materials science, chemistry, or physics).</li>\n<li>Experience with high-performance computing (HPC) and running high-throughput scientific simulations at scale.</li>\n<li>Applied experience with scientific simulations (e.g., molecular dynamics, computational chemistry simulations, etc.).</li>\n<li>Applied experience with modern deep learning architectures (e.g., transformers, diffusion models).</li>\n</ul>","enriched_at":1779948302932},{"id":"job_14b867fc-19b","title":"Research Engineer, Materials Science","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7339890","location":"Mountain View, California, US","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"<p>At Google DeepMind, we&#39;re committed to equal employment opportunities and value diversity of experience, knowledge, backgrounds, and perspectives. We&#39;re pioneering research in materials science, combining AI and computational simulation with automated experimentation. As a Research Engineer, you&#39;ll collaborate with an interdisciplinary team to develop infrastructure for running experiments and help researchers explore new applications of AI and LLMs to materials science.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing, developing, and implementing high-performance simulations, tools, and analysis workflows using domain knowledge in the sciences.</li>\n<li>Applying software engineering expertise to produce high-quality, reusable code and components to tackle meaningful strategic problems.</li>\n<li>Sharing ideas with other specialists in the team and being highly collaborative, striving to cultivate a culture of continuous development and advancement.</li>\n<li>Employing cutting-edge technology and techniques to contribute to solving some of the hardest problems.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>A dedicated software engineer with experience in software design and development, obtained either through a degree or applied experience.</li>\n<li>Proven experience in Python, C++, and interoperability between the two.</li>\n<li>Experience with concurrent and distributed software algorithms and architectures.</li>\n<li>Experience applying software engineering principles in a scientific research environment.</li>\n</ul>\n<p>In addition, one or more of the following would be strongly preferred:</p>\n<ul>\n<li>Scientific knowledge (particularly materials science, chemistry, or physics).</li>\n<li>Experience with high-performance computing (HPC) and running high-throughput scientific simulations at scale.</li>\n<li>Applied experience with scientific simulations (e.g., molecular dynamics, computational chemistry simulations, etc.).</li>\n<li>Applied experience with modern deep learning architectures (e.g., transformers, diffusion models).</li>\n</ul>","enriched_at":1779937679158},{"id":"job_53c4a02d-886","title":"Research Scientist: Multilingual, Multicultural and Multimodal LLM","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7672015","location":"Tokyo, Japan","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking highly motivated and innovative Research Scientists to join our team in Tokyo, focused on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs).</p>\n<p>As a Research Scientist at Google DeepMind, you will:</p>\n<ul>\n<li>Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google.</li>\n<li>Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.</li>\n<li>Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services.</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.</li>\n<li>You embrace change and thrive under ambiguity.</li>\n<li>You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.</li>\n<li>You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field.</li>\n<li>Strong publication record in top-tier AI conferences or journals.</li>\n<li>Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.</li>\n<li>Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.</li>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Experience with multilingual, multicultural, and/or multimodal learning in LLMs.</li>\n<li>Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.</li>\n<li>Familiarity with large-scale model training and deployment.</li>\n<li>Strong programming skills in Python or similar languages.</li>\n</ul>","enriched_at":1779494963602},{"id":"job_1ba2b346-471","title":"UX Researcher Role - 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Our work is at the cutting-edge of people-focused research and the expanding generative AI landscape.</p>\n<p>We are a multidisciplinary team of researchers, designers, product managers, program managers, and prototypers who believe that AI can create a better world, but only when it’s designed for people first.</p>\n<p>As a User Researcher Contractor, you will help define the next frontier of Generative AI by exploring 0 → 1 breakthrough experiences and demonstrating them to executives throughout Google.</p>\n<p>Success in this position requires seamless collaboration with multidisciplinary, cross-functional, internal and external teams to ensure deep insights are directly steering our exploration strategy.</p>\n<p>Responsibilities:</p>\n<p>Partner closely with multidisciplinary team members within the Inception team and beyond</p>\n<p>Identify research questions to best provide strategic guidance</p>\n<p>Design, lead and execute research studies. Be flexible in methodology, from foundational to experimental to evaluative.</p>\n<p>Stay on the vanguard of AI products through daily tool use, experimentation, and exploration. Consistently cultivate an informed POV on how technical capabilities will line up with user needs</p>\n<p>Continue to maintain strong and informed opinions about the state of AI technology in the relevant exploration space</p>\n<p>Take personal ownership of big ideas and drive them forward - hold the vision throughout, think big and be an &quot;architect of the possible&quot;. Rapidly and playfully explore and iterate on ideas.</p>\n<p>Provide actionable insights that directly influence product strategy</p>\n<p>You could be a great match if…</p>\n<p>You are passionate about a balance of foundational and evaluative research and the AI product landscape.</p>\n<p>You get excited when learning about new topic areas, surfacing assumptions and exploring how to create new value for users through research and building.</p>\n<p>We are looking for a UX researcher who’s well-grounded in established research methodologies and techniques, yet nimble and experimental.</p>\n<p>We’re looking for people with a creative, fresh approach to understanding, socializing and helping small exploration pods take action on insights.</p>\n<p>Additional Responsibilities</p>\n<p>The AIUX Team is cross functional and consists of Designers, UX Program Managers, Engineers, Product Managers, Researchers, and more.</p>\n<p>We care deeply about operational excellence and are continuously considering opportunities to iterate and improve in order to deliver outsized value to Google Deepmind.</p>\n<p>As many of our projects are early stage with small scrappy teams.</p>\n<p>We’re looking for candidates who can wear multiple hats on fast moving explorations.</p>\n<p>Past experience in other domains is always a plus: marketing, data science, GTM planning, operations and beyond.</p>\n<p>Minimum Qualifications</p>\n<p>Background in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field (in lieu of degree, 4 years relevant work experience).</p>\n<p>Experience with research design - utilizing various methods including but not limited to in-depth-interviews, concept research, field research, usability studies, and surveys.</p>\n<p>Passion for using AI to benefit humanity everywhere in the world, including communities currently underserved by technology.</p>\n<p>Strong communication skills with the ability to listen, articulate positions succinctly, and advocate for both research &amp; design.</p>\n<p>A collaborative mindset - our team of researchers share works-in-progress and that is a core value.</p>\n<p>Demonstrated experience impacting product strategy.</p>\n<p>Experience in with the latest AI tools and models.</p>\n<p>Basic understanding of, and experience with, Artificial Intelligence and Machine Learning technologies.</p>\n<p>A penchant for speed, and comfort with imperfect but directional insights.</p>\n<p>Preferred Qualifications</p>\n<p>Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable.</p>\n<p>Experience working with agencies or directing other research groups to craft and direct field research.</p>\n<p>Experience conducting global market research.</p>\n<p>Ability to create powerful research outputs used to inspire and influence stakeholders (e.g., multimedia stories, video editing).</p>\n<p>Experience on innovation teams or other demonstrated instances of pathfinding and experimenting with what’s possible - charting the course when there is no map, rapidly framing novel problems and sketching the foundational solutions.</p>\n<p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.</p>\n<p>We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>\n<p>If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>","enriched_at":1778526297562},{"id":"job_7f633a6c-df7","title":"UX Researcher Role - 12 Months  - FTC","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7913506","location":"London, UK","job_type":"contract","experience_level":null,"work_arrangement":null,"category":"Engineering","description":"<h3>Role</h3>\n<p>Google Deepmind&#39;s Inception AIUX team is seeking a User Researcher Contractor for our London offices. In this role, you will help define the next frontier of Generative AI by exploring 0 → 1 breakthrough experiences and demonstrating them to executives throughout Google.</p>\n<p>We are a multidisciplinary team of researchers, designers, product managers, program managers, and prototypers who believe that AI can create a better world, but only when it’s designed for people first.</p>\n<p>Success in this position requires seamless collaboration with multidisciplinary, cross-functional, internal and external teams to ensure deep insights are directly steering our exploration strategy.</p>\n<p>You will be responsible for UXR activities like scoping strategic learning programs, helping the team meet exploration milestones, and helping to define and embody the culture of AIUX.</p>\n<h3>Job Responsibilities</h3>\n<ul>\n<li>Partner closely with multidisciplinary team members within the Inception team and beyond</li>\n<li>Identify research questions to best provide strategic guidance</li>\n<li>Honestly assess what is valuable for breakthrough experiences and what may not be</li>\n<li>Design, lead and execute research studies. Be flexible in methodology, from foundational to experimental to evaluative.</li>\n<li>Stay on the vanguard of AI products through daily tool use, experimentation, and exploration. Consistently cultivate an informed POV on how technical capabilities will line up with user needs</li>\n<li>Continue to maintain strong and informed opinions about the state of AI technology in the relevant exploration space</li>\n<li>Take personal ownership of big ideas and drive them forward - hold the vision throughout, think big and be an &quot;architect of the possible&quot;.</li>\n<li>Rapidly and playfully explore and iterate on ideas.</li>\n<li>Provide actionable insights that directly influence product strategy</li>\n</ul>\n<h3>You could be a great match if...</h3>\n<p>You are passionate about a balance of foundational and evaluative research and the AI product landscape. You get excited when learning about new topic areas, surfacing assumptions and exploring how to create new value for users through research and building.</p>\n<p>We are looking for a UX researcher who’s well-grounded in established research methodologies and techniques, yet nimble and experimental. We’re looking for people with a creative, fresh approach to understanding, socializing and helping small exploration pods take action on insights.</p>\n<p>As a UXR in AIUX, you enable 0 to 1 product development. Your work will be instrumental in transforming ideas into early prototype experiences by helping teams define their Minimum Lovable Product and refine their product strategy.</p>\n<p>This is a highly ambiguous space, so we need someone who is comfortable working within an environment that is rapidly evolving.</p>\n<p>We are looking for someone with a deep curiosity in understanding and playing with new technologies, who is motivated to create what’s next.</p>\n<p>You are someone who creates momentum by pushing past abstraction,you find yourself exploring and building prototypes/experiences/hypotheses early, iterating quickly, and validating user needs.</p>\n<h3>Additional Responsibilities</h3>\n<p>The AIUX Team is cross functional and consists of Designers, UX Program Managers, Engineers, Product Managers, Researchers, and more. We care deeply about operational excellence and are continuously considering opportunities to iterate and improve in order to deliver outsized value to Google Deepmind.</p>\n<p>As many of our projects are early stage with small scrappy teams. We’re looking for candidates who can wear multiple hats on fast moving explorations.</p>\n<p>Past experience in other domains is always a plus: marketing, data science, GTM planning, operations and beyond.</p>\n<h3>Minimum Qualifications</h3>\n<ul>\n<li>Background in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field (in lieu of degree, 4 years relevant work experience).</li>\n<li>Experience with research design - utilizing various methods including but not limited to in-depth-interviews, concept research, field research, usability studies, and surveys.</li>\n<li>Passion for using AI to benefit humanity everywhere in the world, including communities currently underserved by technology.</li>\n<li>Strong communication skills with the ability to listen, articulate positions succinctly, and advocate for both research &amp; design sperma collaborative mindset - our team of researchers share works-in-progress and that is a core value.</li>\n<li>Demonstrated experience impacting product strategy.</li>\n<li>Experience in with the latest AI tools and models.</li>\n<li>Basic understanding of, and experience with, Artificial Intelligence and Machine Learning technologies.</li>\n<li>A penchant for speed, and comfort with imperfect but directional insights.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<p>Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable:</p>\n<ul>\n<li>Experience working with agencies or directing other research groups to craft and direct field research.</li>\n<li>Experience conducting global market research.</li>\n<li>Ability to create powerful research outputs used to inspire and influence stakeholders (e.g., multimedia stories, video editing).</li>\n<li>Experience on innovation teams or other demonstrated instances of pathfinding and experimenting with what’s possible - charting the course when there is no map, rapidly framing novel problems and sketching the foundational solutions.</li>\n</ul>\n<h3>Equal Employment Opportunity</h3>\n<p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>\n<p>If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>","enriched_at":1778522902014},{"id":"job_680a4957-bdc","title":"Technical Program Manager, Agents Innovation - 12 Month FTC","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7839536","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Job Description</p>\n<h3>About Us</h3>\n<p>Artificial Intelligence could be one of humanity&#39;s most useful inventions. At Google DeepMind, we&#39;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>\n<h3>The Role</h3>\n<p>The mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google&#39;s product ecosystem.</p>\n<p>As a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.</p>\n<h3>Key Responsibilities:</h3>\n<ul>\n<li>Orchestrate the Innovation Flywheel: Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the unified Gemini recipe.</li>\n</ul>\n<ul>\n<li>Lead complex engineering workstreams focused on core agentic capabilities.</li>\n</ul>\n<ul>\n<li>Drive the development and adoption of eval benchmarks to ensure model improvements are rigorously validated on benchmarks like SWE-bench and GDPVal.</li>\n</ul>\n<ul>\n<li>Cross-Functional Integration: Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a &#39;multi-way win&#39; where a single agentic advancement (e.g., skill writing) unlocks value across multiple Google surfaces.</li>\n</ul>\n<h3>About You</h3>\n<p>In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>8+ years of experience leading complex, organizational-level technical programs in a software development or R&amp;D environment.</li>\n</ul>\n<ul>\n<li>Deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development.</li>\n</ul>\n<ul>\n<li>Proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes.</li>\n</ul>\n<ul>\n<li>Exceptional stakeholder management skills with the ability to build consensus across a matrixed enterprise.</li>\n</ul>\n<ul>\n<li>Thrive in fast pace, high velocity environment, quick to pivot and adapt to new directions</li>\n</ul>\n<ul>\n<li>Strong communicator, data driven and precise.</li>\n</ul>","enriched_at":1777036308039},{"id":"job_8d7c64e3-d3f","title":"Technical Program Manager, Agents Innovation - 12 Month FTC","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7839536","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re looking for a Technical Program Manager to join our Agents Innovation team. As a Technical Program Manager, you will be at the heart of our innovation flywheel, bringing execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Orchestrate the Innovation Flywheel: Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the unified Gemini recipe.</li>\n</ul>\n<ul>\n<li>Lead complex engineering workstreams focused on core agentic capabilities.</li>\n</ul>\n<ul>\n<li>Drive the development and adoption of eval benchmarks to ensure model improvements are rigorously validated on benchmarks like SWE-bench and GDPVal.</li>\n</ul>\n<ul>\n<li>Cross-Functional Integration: Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a &#39;multi-way win&#39; where a single agentic advancement (e.g., skill writing) unlocks value across multiple Google surfaces.</li>\n</ul>\n<p>To succeed in this role, you will need 8+ years of experience leading complex, organizational-level technical programs in a software development or R&amp;D environment. You should have a deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development. You will also need proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes.</p>","enriched_at":1777032857282},{"id":"job_a3353dc1-a6f","title":"Senior Psychologist","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7343014","location":"Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<h3>Job Title</h3>\n<p>Senior Psychologist</p>\n<h3>Job Description</h3>\n<p>We are seeking a Senior Psychologist to join the Responsible Development &amp; Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).</p>\n<h3>Responsibilities</h3>\n<p>As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind&#39;s values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.</li>\n<li>Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.</li>\n</ul>\n<p>Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.</p>\n<ul>\n<li>Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.</li>\n<li>Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.</li>\n<li>Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.</li>\n<li>Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.</li>\n</ul>\n<p>Engage with internal and external experts to gather diverse perspectives and inform guideline development.</p>\n<h3>Requirements</h3>\n<p>In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.</li>\n<li>Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.</li>\n<li>Extensive prior experience working in a leading industry position.</li>\n<li>A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.</li>\n<li>Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.</li>\n<li>Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.</li>\n<li>Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.</li>\n<li>Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.</li>\n<li>A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.</li>\n<li>Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.</li>\n<li>Experience in applied research settings or translating academic knowledge into practical guidelines or applications.</li>\n<li>Experience in engaging with cross-functional teams.</li>\n<li>Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.</li>\n</ul>\n<h3>Salary</h3>\n<p>The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.</p>","enriched_at":1776527547924},{"id":"job_5b89129e-021","title":"Director, Engineering, Create","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7821851","location":"Mountain View, California, US","job_type":"full-time","experience_level":"executive","work_arrangement":"onsite","category":"Engineering","description":"<p>About Us</p>\n<p>Artificial intelligence will be one humanity&#39;s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.</p>\n<p>The Role</p>\n<p>As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users&#39; ideas.</p>\n<p>In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product.</p>\n<p>To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind&#39;s Gen AI unit into the product.</p>\n<p>Your core responsibilities will include:</p>\n<ul>\n<li>Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.</li>\n</ul>\n<ul>\n<li>Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.</li>\n</ul>\n<ul>\n<li>Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.</li>\n</ul>\n<ul>\n<li>Drive the integration of GenAI model capabilities into Gemini App products.</li>\n</ul>\n<ul>\n<li>Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.</li>\n</ul>\n<ul>\n<li>Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.</li>\n</ul>\n<ul>\n<li>Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.</li>\n</ul>\n<ul>\n<li>Ensure the scalability, reliability, and performance of Create-related features.</li>\n</ul>\n<p>Candidate Qualifications</p>\n<p>In order to set you up for success, we look for the following skills and experience:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or Engineering, or equivalent practical experience.</li>\n</ul>\n<ul>\n<li>15 years of experience in software engineering, building and working with systems in the technology organization.</li>\n</ul>\n<ul>\n<li>7 years of experience managing teams of software engineers and managers of software engineers.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Master&#39;s or PhD degree in Computer Science, or a related technical field.</li>\n</ul>\n<ul>\n<li>Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.</li>\n</ul>\n<ul>\n<li>Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.</li>\n</ul>\n<p>Salary</p>\n<p>The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.</p>\n<p>Benefits</p>\n<p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>\n<p>If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>","enriched_at":1776527295724},{"id":"job_bbb9518f-5b9","title":"Executive Business Partner Program Manager","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7738449","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>Job Description</h3>\n<p>As an Executive Business Partner Program Manager at Google DeepMind, you will play a key role in delivering and managing a mission-focussed and effective E/ABP program.</p>\n<p>Day-to-day, you will partner closely with E/ABPs across the community, providing coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Partner with the E/ABP Lead and other Executive Business Partner Program Managers to lead, develop and nurture the global GDM E/ABP community.</li>\n<li>Collaborate with senior stakeholders to manage the E/ABP community&#39;s capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.</li>\n<li>Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.</li>\n<li>Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.</li>\n<li>Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy</li>\n<li>Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.</li>\n<li>Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.</li>\n<li>Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.</li>\n<li>Role model and make decisions and support activities that align to GDM&#39;s values, policies and practices. Encourage community members to positively contribute to GDM and recognize them for doing so.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.</li>\n<li>Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. 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