Other Requirements:

• native or near-native proficiency in one or more of the Asian or European languages

• IT skills are a plus

• knowledge of regular expressions is a plus

Education Requirements:

• Bachelor’s degree in human resources, Business Administration, or a related field

Experience Requirements:

• Minimum of 5-7 years of progressive HR experience

• Experience with payroll administration and supporting HR aspects of mergers and acquisitions is essential

Other Requirements:

• HR certifications (e.g., CHRP, SHRM-CP) preferred

• Strong knowledge of HR practices, employment laws, and payroll regulations

• Excellent communication, interpersonal, and organizational skills

• Ability to manage multiple priorities and work effectively in a fast-paced environment

• Proficiency in HRIS systems (e.g., ADP WorkforceNow) and data reporting tools

Responsibilities:

• HR Operations Oversight: Lead day-to-day HR operations, including employee relations, onboarding/offboarding, performance management, and compliance with employment laws

• Policy Implementation: Ensure consistent application of HR policies developed by senior leadership, providing input based on operational needs

• Managerial Support: Partner with the Director of People & Culture to implement HR programs and provide coaching to managers on employee engagement and development

• Payroll Processing: Support accurately process monthly and semimonthly payrolls, ensuring compliance with regulations and internal controls

• Employee Support: Address and resolve payroll inquiries from employees promptly and effectively, maintaining a high level of service and confidentiality

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:

• 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

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 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:

• 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:

• Strong track record of operational delivery against a background of complexity, with tangible outcomes

Experience Requirements:

• Extensive knowledge and expertise in program management,with the proven skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change

• Background in or clear understanding of communications and marketing with the ability to apply strategic planning to a wide array of contexts.

• Strong track record of cross-functional coordination across a wide variety of teams and functional areas, and a demonstrated ability to lead within a matrix organisation through diplomacy and relationship-building.

• Experience supporting teams in fast-paced and constantly evolving environments, acting as a sounding board and coach as individuals go through the change cycle

Responsibilities:

• Strategic portfolio management

• Program leadership and mission control

• Leadership partnering

Education Requirements:

• You are a resilient Assistant, with experience working in a fast-paced environment

Experience Requirements:

• You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow.

• Passionate about supporting and enabling others, motivated by Leader support.

• Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance.

• Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way.

• Can adapt quickly to changing demands and embrace ambiguity

Responsibilities:

• Strategically and proactively manage a very complex and ever-changing calendar of meetings, conference calls, interviews appointments, across numerous time zones and different office locations.

• Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies

• Collate and track actions and deliverables

• Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting.

• Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making.

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

• Proven experience working with Large Language Models (LLMs)

• Knowledge of algorithm design

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

Responsibilities:

• This research engineer role focuses on inference-optimized model design for Gemini pretraining.

• We are interested in predictable LLM quality with optimized architecture selection for fast inference. It involves a low-level understanding of common XLA primitives and how jax code runs on TPUs in practice.

• Moreover, we heavily rely on various distillation techniques and spend time curating the right datasets for our models. The ideal candidate is willing to roll up sleeves to work across the LLM preparation stack (pretraining, finetuning, serving) to deliver strong 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:

• 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

Education Requirements:

• MS or PhD in computer security or related field, or equivalent practical experience in security and privacy

Experience Requirements:

• Preferably related experience in GenAI and LLM infrastructure or products

• Demonstrated passion for and thought leadership within the technology space generally, and specifically within security and privacy in the ML space

• Results oriented; able to deliver innovative research ideas into production and landed impact

• Demonstrated success in creative problem solving for scalable teams and systems

• Strong back-end, infrastructure and API design skills

Responsibilities:

• Invent and implement novel protocols and APIs to build private-by-design distributed systems at Google scale

• Work on low-level components to reduce the Trusted Computing Base of the system, including open source and proprietary components (in Rust, C++, Java and Kotlin)

• Understand the tradeoffs between different encryption schemes and apply them to existing and new systems

• Reason about the properties of distributed systems holistically as components are added to it (e.g. accelerators, persistent memory, etc.)

• Define threat models for existing and new systems, taking into account engineering trade-offs and product requirements

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.

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.

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.

Education Requirements:

• PhD in a relevant technical field or equivalent practical experience

Experience Requirements:

• Research and development experience in media generative and/or restoration models, including but not limited to audio, images, video, and language

• Experience coding in one of the following programming languages including but not limited to: Python, C or C++

Responsibilities:

• Research and development of new technologies for audio generative models including text-to-speech, audio restoration and separation, and music and environmental sound generation.

• Collaborate with other research scientists and engineers to implement prototypes for new products, and work with product groups in Google to identify and implement approaches that AI can be used to improve existing and/or create brand-new Google products.

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

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.

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.

Responsibilities:

• leading the technical development of AI solutions

• designing and implementing software systems

• conducting system analysis

• integrating with the APIs of point-of-sale (POS) systems

• collaborating with cross-functional teams to deliver innovative solutions

Education Requirements:

• Bachelor’s degree or college diploma in Computer Science or related discipline

Experience Requirements:

• 3+ years of professional full-stack development experience

Other Requirements:

• Experience using most of our tech stack: MongoDB, Angular 2+, Node.js, and Flask

• Comfortable with Git workflow including pull requests and code reviews

• Comfortable working independently and in a team

• Enjoy solving problems

• Work autonomously and possess a sense of self-satisfaction

• Prior experience building customer-facing SaaS applications is preferred

• Practical experience in NLP (semantic similarity, text summarization, text generation, question-answer systems) is preferred

• Practical experience using AI/ML frameworks such as: PyTorch, Scikit-learn is preferred

• Knowledge of NLP/conversation AI frameworks such as: SpaCy, Hugging Face models, transformers, RASA, wit.ai is preferred

• Experience using AWS is preferred

Responsibilities:

• supporting the technical aspects of the MAT by Massively platform and client onboarding work

• collaborating in building, optimizing, and adding features to the MAT by Massively Platform and chatbot applications for clients

• Communicating ideas and solutions to teammates and developers