Benefits:

• Generous 401(k) plan with matching to secure and plan for your financial future

• Comprehensive premium health, dental, and vision insurance for you and your dependents

• Early exercise provisions of equity options to participate in the company’s growth

• Unlimited PTO to recharge and rejuvenate

• Healthy lunch and dinner options catered daily at our offices

Education Requirements:

• Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus

Experience Requirements:

• Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.

• Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research).

Other Requirements:

• Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.

• Strong programming skills

• Experience with technical writing and documentation, including academic publications

Responsibilities:

• You think robotics should be made more widely accessible and available for manufacturing

• You are interested and proficient in modern software development (e.g. C++) in addition to PLC programming (e.g. ladder logic) used in modern controllers

• You have written end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry

• You have implemented and shipped software for robot functionalities.

• Robot functionalities include but are not limited to (in no particular order): robot motion and grasp planning, real-time motion control, robot safety.

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Innovate and assess new machine learning models and techniques for pilot projects, quickly demonstrating viability and potential impact.

• Transform successful prototypes into scalable solutions for wider integration within Google's products.

• Conduct research to identify and address impactful problems inspired by current and future real-world needs.

• Investigate and develop novel solutions by studying related work, conducting experiments, and constructing prototypes and demonstrations.

• Collaborate with product teams to drive the implementation of research insights, fostering innovation and the development of new products.

Responsibilities:

• Conducting core research in the areas of computer vision, language understanding, multimodal models, large scale AI models and other key computer vision tasks.

• Training and evaluating AI models for a variety of product use cases.

• Researching, Implementing, and adapting state of the art deep learning approaches for Google’s use cases

• Collaborating closely with other GDM and partner teams to make progress towards building the most advanced embedding models.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• A portfolio of a minimum of 5 years events experience that demonstrates a breadth of events of varying scope, scale and audiences

Experience Requirements:

• A good understanding of the Product Impact Unit’s audience which is predominantly consumers, customers, developers, creators and advertisers.

• Experience creating events that build culture and employee engagement

• A natural problem solver.

• Curious and always open to new ideas and learning opportunities.

• Creative and innovative and excited by charting new paths.

Responsibilities:

• Gain a deep understanding of the mission and key objectives of Google DeepMind and the Product Impact Unit.

• Partner closely with the Unit Operations team in the Product Impact Unit to ensure alignment across Unit activities.

• Work autonomously as well as part of the global Events & Experiences team.

• Proactively design a strategic internal and external program of global events aligned with the Unit’s mission and goals.

• Respond quickly to briefs from Unit leads to create event experiences in support of specific objectives, often with a short lead time.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Knowledge of machine learning and statistics

• Knowledge of algorithm design

• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

Responsibilities:

• As a key contributor to Project Astra, Gemini and other AI experiences, you’ll be leading a team responsible for applying the most promising models and research to enable agent memory to GDM and Google agents.

• You’ll work by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll lead a team of Software and Research Engineers, in partnership with research scientists and deliver significant impact in the short term, and will have close mentorship from Product Unit leadership.

Education Requirements:

• BS degree in Computer Science, Engineering, related fields or equivalent practical technical experience

Experience Requirements:

• Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence

• Skilled at navigating, updating and defining complex processes

• Initiative to solve problems with solutions that are repeatable, scalable and sustainable.

• Proven strong stakeholder management skills

• Comfortable dealing with ambiguity and able to thrive in a dynamic environment.

Responsibilities:

• Creating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure.

• Partnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities.

• Providing best practices to researchers and engineers in areas such as resource availability, efficiency, scaling & performance.

• Producing regular targeted communications to leadership, research and engineering teams

• Assisting with new ML hardware/software pilot programs.

Education Requirements:

• MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Deep foundational knowledge of machine learning and statistics

• Proven experience of JAX or similar ML frameworks (e.g. TensorFlow, PyTorch ) is highly desirable

• Experience pretraining, fine-tuning large, and/or applying RL to models

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

Responsibilities:

• You’ll be improving the most promising models and research as it relates to high-impact real world problems, by rapid-prototyping initial concepts and designing and running experiments.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll be embedded within a small project team of Research Engineers, and will be expected to drive the foundational research direction with the potential for significant impact in the short and long term.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD/MS in Computer Science or Robotics; or equivalent practical experience

Experience Requirements:

• Experience working with real-world robots, preferably Humanoid platforms

• Strong exposure to Machine Learning/AI systems

• Experience on solving practical Safety challenges, performing Risk Assessments

• Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised

• Understanding of ISO/RIA Safety Standards

Responsibilities:

• Performing Hazard and Risk Analysis for emerging Robotics Platforms

• Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation

• Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.

• Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.

• Preparing Safety training materials

Education Requirements:

• PhD in Computer Science, or Machine Learning related field

Experience Requirements:

• Experience with people understanding/generation

• Experience working with VLMs

• Proven experience of ML frameworks such as TensorFlow/JAX

Responsibilities:

• You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, whilst working on real world problems, with the chance to see your work make a difference.

• Some of our current projects are focusing on multimodal human understanding and generation, including privacy preserving generation and misinformation prevention. Having relevant experience is highly beneficial.

• The responsibility includes model development (data, modeling and evaluation), research and prototyping.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• 10+ years of product management experience

Experience Requirements:

• Deep passion for and understanding of Gen AI technologies and market trends

• Deep passion for and experience with developing elegant consumer user experiences

• Experience developing full-stack (UX plus AI/ML/back-end), deeply technical products

• Track record of leading large cross-functional teams to land ambitious strategies

• Extremely strong analytical and problem solving skills

Responsibilities:

• Partner closely with Engineering, UX Design, Data Science, UX Research, and Marketing

• Understand users deeply through data science, user feedback, and user research

• Work integrally with UX to design elegant, delightful journeys for web and across platforms

• Develop features and roadmaps based on user feedback, UX research, metrics, market trends, and market alternatives

• Collaborate with cross-functional teams to design, implement, and launch innovative features within Gemini, leveraging the latest advances in AI and large language models

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization

Responsibilities:

• Contribute and drive ML for Physical Design, Logical Synthesis, Verification and RTL generation.

• Architect, guide and vet designs, algorithms and solutions, writing development code to solve ambiguous problems.

• Identify unsolved impactful research problems in Chip Design, inspired by current and future real world needs.

• Define Scope, plan and organise projects towards common goals.

• Amplify impact by generalising solutions into reusable libraries for many use cases. Share knowledge through publications, open sourcing and education.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• At least 10 years experience in ASIC physical design flows and methodologies in advanced nodes

Experience Requirements:

• Experience from PD for high performance compute IPs (e.g., GPUs, DSPs, or machine learning accelerators).

• Successful track record of delivering tape-outs to production.

• Capability and strong willingness to work in PD in a research environment.

• Hands on experience and a solid understanding of ASIC physical design, physical design flows and methodologies including synthesis, place and route, STA, Formal Verification, CDC and Power Analysis using tools such as Design Compiler, FC, Innovus, PrimeTime, PrimeTime-PX, Calibre, ICV, Conformal, RedHawk, Spyglass and PowerArtist.

• Strong scripting skills in Python, TCL, BASH

Responsibilities:

• Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages and Systems

• Work in close collaboration with HW architects and design engineers rapidly iterating experimental designs, giving rapid yet reliable feedback on the performance, power and area of different design options.

• Drive architectural feasibility studies, explore RTL/design tradeoffs for physical design closure.

• Perform block level physical implementation steps including synthesis, floorplanning, place and route, power/clock distribution, congestion analysis, STA, timing closure, EM-IR, PV, CDC analysis, LEC etc.

• Provide actionable feedback to silicon design engineers and architects for design improvements.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE