Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Now wanting to expand his team with new software engineers, ML engineers and AI engineers.

deepmind

Snapshot Support the analytical and operational frameworks that enable Leadership (SVP+) decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google’s broader AI strategy. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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 Key Responsibilities Investigative Modeling: Conduct rigorous, deep-dive investigations into Google’s hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making. Scenario Architecture: Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google. SVP+ Content Support: Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow. Cross-Functional Partnership: Act as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality. Execution &amp; Monitoring: Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals. Strategic Cataloging: Maintain a "living catalog" of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion. About You You are a Product Manager who thrives in high-velocity, high-intensity environments where the stakes are massive and the pace is relentless. You are an execution-oriented IC who can quickly create "something out of nothing," iterate based on feedback from senior leaders, and move immediately to the next challenge. This role is for you if: You demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams—pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum. You are a master of execution—you don't just point at problems; you build the models (often joining together disparate data sources from multiple teams) and write the documents that solve them. You are an expert at synthesis, possessing the communication skills to distill complex "noise" into actionable "signal" for executive audiences, delivering elite-level work even under the most demanding deadlines. Skills and Experience BA/BS degree or equivalent practical experience in a technical and/or business area. 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role. Exceptional organizational talent and experience running high-velocity, high-impact programs. Strong analytical fluency: Deep experience in a role that deals with machine learning, compute infrastructure, or large-scale data modeling. Innovative problem solver who can turn ambiguous, messy problem spaces into clear, executable solutions. In addition, the following would be an advantage: Familiarity with the role of compute and data in building LLMs and the technical capabilities of these models. A proven track record of "managing up" and supporting senior stakeholders in a complex, matrixed business environment. Experience in corporate planning or product operations within a major tech ecosystem. Ability to manage multiple, concurrent, highly complex workstreams with minimal friction. A "bias towards action" and a history of creative problem-solving in fast-paced settings. At 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, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Application deadline: 13th Feb 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. &nbsp; &nbsp; &nbsp;

Tech Strategy Product Manager, Google DeepMind

Snapshot Are you an imaginative Software Engineer eager to inspire and accelerate people-centric futures for emerging technologies across Google DeepMind? Join us! You will design, develop, and refine experimental and stable front-end solutions, focusing on innovative user experiences for early-stage AI research. This role involves not just traditional front-end development, but also leveraging prompt engineering to build cutting-edge, AI-driven workflows and tools. This is a unique opportunity to challenge briefs, set a vision for user-centered AI development, and push the boundaries of user interaction at the forefront of AI innovation. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. Our team inspires and accelerates people-centric futures for emerging technologies across Google DeepMind. We work across disciplines, answering difficult user questions, prototyping, and sharing new UX practices with everyone. What makes this role unique: Our SWEs must tackle a wide range of ambiguous challenges in nebulous areas of AI research. Much of our work is with early-stage, loosely-defined technologies and product areas, and as such, we encourage SWEs to challenge briefs, embrace new technologies or technical approaches, and set a vision for our team — and inspire Google DeepMind as a whole — to do what’s best for our users. The Role We are seeking a versatile and enthusiastic Software Engineer to join our team. You will work closely with UX Designers, UX Researchers, Product Managers, Program Managers, and UX Engineers on iterative cycles of design, rapid prototyping, and user research. The core of your work will involve designing and developing stable but experimental front-ends for user-facing products, bringing a human-centered approach to brilliant research and technology. We are looking for an engineer who can take on new problems, including significant focus on prompt engineering to build innovative, AI-driven solutions, and push the boundaries of user interaction. You thrive on tackling ambiguous technical challenges and translating early-stage AI concepts into effective, efficient, and usable software solutions. Key responsibilities: Front-End Solution Delivery: Work closely with UX Designers, Researchers, PMs, and UXEs to implement versatile front-end solutions to tackle tough problems and answer big questions. AI-Driven Development: Engage in prompt engineering to create innovative and intelligent AI-driven user experiences and design and develop dynamic workflows and collaborative tools tailored to specific user needs. Prototyping &amp; Iteration: Design, develop, test, and iterate on stable but experimental front-end code for new user-facing features, taking a human-centered approach to research and technology. Operational Excellence: Take ownership of the front-end implementation, including bug fixes and performance enhancements, to ensure a polished final product. Cross-functional Collaboration: Partner effectively and collaboratively with designers, researchers, and engineers across different teams to gather requirements and ensure successful project delivery in nascent product areas. About You In order to set you up for success as a Software Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: Significant professional software development experience in Javascript and 2 or more other programming languages (e.g., Java, C/C++, Python, Go). Extensive experience with front-end technologies and modern web application development with modern web libraries and frameworks (e.g., Angular, Svelte, React). Experience building prototypes for AI/ML systems, AI-native development tool-chains, and workflows. Understanding of the latest methods and tools and AI technologies, with a strong POV on building usable and innovative UIs, and the ability to deliver comprehensive prototypes. Bachelor's degree or equivalent practical experience. In addition, the following would be an advantage:&nbsp; Highly proficient in web technologies such as JS/ES6, HTML5, CSS, REST, mobile web, mobile applications etc. Strong sense of UI design and attuned to the fundamentals of user experience, including accessibility. Demonstrable experience with Google Cloud or similar cloud platforms. Ability to work effectively across different time zones and communicate clearly with a distributed team. A proven track record of taking high-level direction and independently driving the implementation of complex features. 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. &nbsp; &nbsp; &nbsp;

Software Engineer, UX

Software Engineer, UX, London

Snapshot Join us in delivering state-of-the-art generative AI to global users through the Gemini app. In this role, you will directly improve Gemini App response quality, ensuring it provides intuitive, high-value support for users throughout their daily lives. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. &nbsp; The Role In order to set you up for success as an Senior Software Engineer in the Gemini App team, we look for the following skills and experience: As a core member of the Gemini App Response Quality team, you will be responsible for ensuring that the Gemini App delivers high-quality, reliable responses across all user segments and key user journeys. You will serve as the primary Eng PoC for various quality improvement initiatives that drive the end-to-end quality bar, ensuring responses are helpful, accurate, and high-utility across diverse user intents. Analyze user pain points and behavioral data to refine the quality improvement roadmap. You will prioritize engineering solutions by partnering with Gemini Model team, PMs, and UX Research to bridge the gap between model capabilities and user-facing product impact. As the strategic PoC for Safety, you will spearhead the development of response frameworks for safety-sensitive topics with a dedicated focus across all user segments including your users. Your mission is to build a secure, inclusive environment where our young users can explore the best of AI technology without compromise. &nbsp; About You Individuals who thrive in ambiguity and have a shipping mindset. Willing to do whatever moves the projects forward. In order to set you up for success as a Senior Software Engineer at Google DeepMind, we look for the following skills and experience: BS, MS or PhD degree in Computer Science, similar technical field of study or equivalent practical experience Experience working on LLM product, data or evaluation Strong communication skills and a reliable team player Proven knowledge and experience of programing in Java, C++, or Python in production environments In addition, the following would be an advantage:&nbsp; Strong data analysis skills Experience with ML, especially LLMs Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders &nbsp; The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Senior Software Engineer, GeminiApp Response Quality

Snapshot The Strategic User Segments team is dedicated to expanding Gemini’s reach into high-potential sectors, including Education, Health, and Small Businesses, by building capabilities that address the unique workflows of these users. As a Software Engineer on this team, you will build full-stack integrations to the GeminiApp platform, shipping exciting new features quickly from concept to launch. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. The Role In this full-stack role, you will work on building high quality, domain-specific experiences within Gemini App. We are looking for candidates who have a passion and a strong track record of developing novel technologies, systematically experimenting and evaluating them and iterating rapidly.&nbsp; What makes this job unique at Google? Working on bleeding-edge technologies Direct impact on a large user base Startup like experience - working on product in early stages, high ownership and visibility Key responsibilities:&nbsp; Demonstrate technical leadership in building innovative features for the target users Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products&nbsp; Collaborate with researchers to understand cutting-edge innovation in generative AI, and apply it to the app Conduct in-depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality Collaborate with partner teams to enable Gemini features in all languages &nbsp; About You We are looking for an individual who balances the need for speed with the discipline of building scalable, maintainable systems. You are a problem-solver who thrives in ambiguity and can rapidly iterate on evolving requirements to build robust full-stack feature integrations. You value code quality and operational excellence, and you foster a collaborative environment where technical knowledge is shared and the team succeeds together. To succeed in this role, you will need:&nbsp; Bachelors or Masters degree in computer science or related technical field 10+ years of experience with software development in one or more programming languages, and with data structures/algorithms. 5+ experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, Angular, HTML, CSS, etc. Hands-on experience with prompt engineering and post-training techniques for large language models, including data pipeline and evaluation methodologies Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. In addition, the following would be an advantage:&nbsp; Proven experience in mobile software development Interest in LLMs and adapting AI technologies for different user groups. Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders Prior experience working with product teams &nbsp; The US base salary range for this full-time position is between $166,000 - $244,000&nbsp; + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Senior ML Software Engineer, GeminiApp Strategic User Segments

Snapshot Join us in bringing state-of-the-art generative AI models to users around the world through Google's Gemini App. You will build innovative features leveraging cutting-edge multimodal Gemini models, to help the user succeed in their everyday journey. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. The Role In order to set you up for success as an Senior Software Engineer in the Gemini App team, we look for the following skills and experience: Key Responsibilities: Understand the critical user journeys of our target user segments (such as small business owners) and improve their user experience&nbsp; Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products Collaborate with researchers to understand cutting-edge innovation and improvement in generative AI, and apply it to the app Conduct in-depth data analysis to identify headroom for the user journeys, and develop a strategy to design and implement solutions to improve the quality Work together with the teams responsible for model development to enhance and refine model performance About You In order to set you up for success as a Senior Software Engineer at Google DeepMind, we look for the following skills and experience: BS, MS or PhD degree in Computer Science, similar technical field of study or equivalent practical experience Experience working on software engineering projects from prototype to production Strong communication skills and a reliable team player Proven knowledge and experience of programing in Java, C++, or Python in production environments Individuals who thrive in ambiguity and have a shipping mindset Willing to do whatever moves the projects forward In addition, the following would be an advantage:&nbsp; Strong data analysis skills Experience with ML, especially LLMs Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders &nbsp; The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Senior Software Engineer, Gemini App

Snapshot We are looking for engineers who understand that the end of Moore’s Law will require a revolution in chip design methodology (EDA). Our work emphasizes three opportunities for novel approaches to EDA: cloud/hyperscale computing--which allows algorithms to operate totally differently; machine learning--which provides dramatic automation opportunities; and integration--since we can now co-design and/or co-optimize algorithms, compilers, and hardware.&nbsp; This is a hands-on coding role for engineers who like to roll up their sleeves and get things done. At Google DeepMind you’ll be joining our team of scientists and engineers who are directly impacting the machinery of machine learning. The Role You should be passionate about making digital electronic design better, including (but not limited to) how to use machine learning, cloud computing, and/or co-design to dramatically improve EDA: Skilled at rapid yet rigorous prototyping and software tool building for design automation; aptitude to quickly determine whether an approach is worth following or not without spending too much time. Excited to invent, prototype, and deliver tools employing novel optimization techniques and machine learning to re-invent AI chip design, from RTL to GDSii. Existing team members are self-driven and motivated, bring passion to their work, are comfortable working in a highly ambiguous environment, are open and curious to seek out and learn new perspectives, can challenge their own thinking, and are excellent and direct communicators and collaborators.&nbsp; About You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following requirements: Experience advancing EDA, including using any one or more of machine learning, cloud computing, or HW/SW co-design to improve EDA outcomes. Demonstrated ability to innovate.&nbsp; Ability to scope, plan, and execute projects towards team goals.&nbsp; Desire to revolutionize chip design and the flexibility to thrive in a rapidly evolving organization. In addition, 1-2 years of experience of the following would be helpful: Experience with collaborative, hyper-scalar software development and engineering best practices. Interest in working with full-stack system development, from HW/SW co-design through implementation (ideally through post-silicon).. Interest in JAX, GPU, or other SIMD programming (eg, for ML/AI or scientific computing). Ph.D. in Electrical Engineering, Computer Science or related field; or other similar experience. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. 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 opportunities 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Software Engineer, Machine Learning and Electronic Design Automation GenAI - Mountain View, CA

Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated and experienced ML Software Engineering Manager to join our HW-SW Co-design team and drive groundbreaking advances for machine learning acceleration. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google 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. About you We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves our HW-SW co-design project forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must. We value strong leadership, technical depth, and a collaborative spirit. The Role We are seeking a talented and highly motivated ML Software Engineering Manager to join our GenAI technical infrastructure research team. You will lead a multi-disciplinary team to evolve the software side of our hw-sw co-design project. This role requires a blend of deep technical expertise, strategic thinking, and strong leadership. Responsibilities: Lead the work of multi-disciplinary ML software engineers, including numerics, performance optimisation, teacher-student learning, and novel model architecture exploration. Closely collaborate with our hardware team to define and drive strategy for next-generation machine learning accelerators. Manage relationships and technical execution across a virtual team that spans both Google and outside partners. Drive the team to deliver high-quality aligned to tight schedules. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 10+ years of experience in ASIC design and development. Proven track record of technical leadership and successfully delivering complex silicon projects (tape-outs) to production. Deep expertise in at least one core silicon discipline (e.g., RTL, PD, DV) and strong familiarity with the entire ASIC flow. Experience with managing silicon vendors and other external partners. Preferred Qualifications: Master's or Ph.D. in a related field. Experience leading and managing teams across the full silicon development cycle, from RTL to bringup. Experience with high-performance compute IPs (e.g., GPUs, ML accelerators). Knowledge of high-performance and low-power architectures for ML acceleration. Excellent communication, and leadership skills.

ML Performance Optimization Software Engineer

Gemini App Analytics Infrastructure SWE Snapshot The Gemini Apps Analytics Infra team is responsible for providing critical telemetry about the Gemini web and mobile apps. The data we produce is key in everything from helping to evaluate the performance of new Gemini model candidates and Gemini App product features to providing leadership up to Demis with an accurate and timely understanding of how the product is doing. We enable the Gemini App org to make well-informed business decisions and to deliver state-of-the-art LLMs to hundreds of millions of users. The Role The Gemini App’s user base is growing and the growth is accelerating. We have ambitious product goals and the Analytics Infrastructure team is set to play a critical role across the org in reaching them. We are looking for a senior SWE to take on the challenge to scale our infrastructure to keep pace so that we can continue delivering metrics and product data quickly, reliably and accurately. Leveraging your experience or expertise in building and running scalable systems, and utilizing infrastructure like Flume, Dreampipe, Conduit, and more, you will work with a team of high-performing senior and junior engineers to deliver datasets at scale to drive Gemini Apps’ most high-priority efforts, such as reducing the cost of inference or improving product reliability or increasing the velocity of model releases.&nbsp; You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across GDM, to understand and provide high-quality data to solve key problems to help make Gemini the next billion-user product. Along the way, you will learn about and support shipping the latest cutting-edge models to our users. About You To set you up for success as a Gemini Apps Analytics Infrastructure SWE at Google DeepMind, we look for the following skills and experience: Required qualifications C++ proficiency Experience developing, debugging, and supporting large-scale data pipelines Interest in data and data quality, attention to detail Willing to stand behind production systems by carrying a pager In addition, the following would be an advantage: Go proficiency Experience with Conduit, Dreampipe, Lavaflow, Napa, Rasta, F1, or other similar infrastructure. Experience working in the analytics domain, doing data analysis 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Gemini App Analytics Infrastructure Software Engineer, Mountain View

Snapshot Our team is responsible for speech experience inside GeminiApp, handling activation, ASR and TTS quality, speech personalization, interruptions, and conversation termination. Our team includes software engineers that build and maintain the backend infrastructure for these aspects of the product. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we are 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. The Role In this role, you will: Deploy models that classify GeminiApp data, ensuring that the models' inputs are passed properly within the server and from mobile devices, and ensuring its outputs are used effectively Build monitoring dashboards and alerting systems to ensure that these models continue to operate as designed Update infrastructure to ensure that data handling adheres to company privacy policy standards Perform and assist with data analysis to identify quality, latency, and reliability issues through live experiments, and identify&nbsp; opportunities for future improvement Participate in planning and implementing improvements, and collaborating with other team members on other GeminiApp speech experience systems. About you You are a talented and resourceful engineer, with a background in complicated Google infrastructure like GeminiApp and Assistant. You can quickly get familiar with a new codebase, and know how to leverage LLMs to work quickly. You thrive on seeing your work deployed to millions of users, and care about the end-user experience. You work well independently and collaboratively, and demonstrate good judgement balancing short- and long-term needs. You come up with ideas on your own, enjoy discussing them, and work hard to make sure that the best ideas succeed, regardless of where they came from. You are good at communicating clearly, and good at ramping up quickly, and at mentoring others. In order to set you up for success as a Machine Learning Software Engineer at Google DeepMind, we look for the following skills and experience: BS, MS or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry Experience working on software engineering projects from proof-of-concept through to implementation. Proven knowledge and experience of Python, C++, GCL, SQL in production environments Experience in applying experimental ideas to applied problems Knowledge of machine learning and statistics, including modern techniques like prompt optimization Experience productionizing state-of-the-art small classification and large language a plus The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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