Education Requirements:

• Bachelor’s degree in a design related field; master’s preferred or equivalent relevant experience

Experience Requirements:

• 6+ years of product design experience, with a focus on mobile applications and complex software

• Strong background in interaction design with a great eye for layout, typography, iconography, and color

• Advanced experience with prototyping tools

• Thoughtful web portfolio demonstrating passion for simple, intuitive, and beautiful design

Other Requirements:

• Willing to sponsor new hires

• Willing to relocate new hires

• Strong user empathy

• Hunger to solve problems

• Excellent technical communication skills

• Ability to maintain high design standards in a lean, fast-paced environment

Responsibilities:

• Partner with product management, engineering, and business development on the development of new EV products.

• Wireframing, prototyping, and designing end-to-end product features by using data, market research, and AB Testing.

• Work with senior management and business partners at Honda as a thought leader.

• Help maintain high design standards by constantly challenging the team with thoughtful critique.

• Provide effective leadership as a senior member of the design team.

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 5+ years using statically-typed languages (Java/Kotlin/Scala, C/C++, or Rust)

• Experience with GraphQL APIs

• Track record of shipping performant API integrations and interfaces

• Experience with a major cloud provider (GCP, AWS, or Azure)

• Experience architecting, building, and operating cloud-native backend services

Other Requirements:

• Work Authorization Required

• Willing to relocate new hires

• Flexible attitude and entrepreneurial mindset

• Willing to engage outside usual responsibility area

• 5-10% travel within the US and Asia is required

Responsibilities:

• Design testable, scalable, and observable backend services for a global mobile application

• Develop backend service solutions, including cloud infrastructure services selection and setup, monitoring and alerting, and integration with several 3rd-party APIs.

• Work closely with Mobile App developers, 3rd party API developers, and software architects to collaborate on solutions that serve drivers with the best experience

• Troubleshoot production issues, develop and release hotfixes

• Contribute to CI/CD pipeline infrastructure

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience

Experience Requirements:

• Strong Programming

• Experience with AWS

• Experience with Kubernetes

• Experience with Terraform

Other Requirements:

• Work Authorization Required

• Unable to relocate new hires

• Excellent problem-solving skills

• Strong communication skills

Responsibilities:

• Design and manage cloud infrastructure, primarily in AWS, ensuring scalability and reliability.

• Deep expertise in Kubernetes for orchestrating containerized applications.

• Implement CI/CD pipelines and monitoring tools (Grafana, Prometheus, Loki) for optimal performance.

• Proficient in software release management and GitOps, utilizing tools like Terraform, Helm, and Flux.

• Manage databases (Redis, Postgres) and container repositories for seamless integration with our platform.

Benefits:

• competitive compensation package

• strong pay for performance rewards approach

• cash bonus

• equity rewards

• benefits

Education Requirements:

• Undergraduate degree in business, technical, or related field required

• MBA or advanced degree a plus

Experience Requirements:

• 8–10 years of experience in product management

• Proven track record building and scaling end-to-end product experiences

• Strong familiarity with the Shopify ecosystem and broader commerce tools

• Demonstrated success working across product, engineering, design, and GTM

• Data-fluent: comfortable working with signal-based metrics, usage analytics, and data models to inform prioritization and success measurement

Responsibilities:

• Define and lead the product strategy and roadmap for ecommerce integrations, starting with Shopify

• Partner with engineering and design to deliver seamless onboarding, signal ingestion, and post-connection experiences that reduce time-to-first-value for integrated customers

• Ensure Shopify data is deeply integrated and activated across Mailchimp surfaces (e.g., Journeys, Segmentation, Campaign Builder, Reporting) to accelerate time-to-value and drive measurable customer outcomes

• Collaborate with Analytics and GTM teams to define and measure impact

• Work closely with partner teams to ensure signal readiness and activation use cases are consistently supported

Benefits:

• Cash bonus

• Equity rewards

• Comprehensive benefits package

Education Requirements:

• A Bachelor’s degree in Product Design, Human-Computer Interaction, Interaction Design or another relevant area of study

Experience Requirements:

• 4+ years of hands-on experience in interaction design, product design, service design, or a related field

Other Requirements:

• A strong foundation in design principles and methodologies

• A curious spirit and a dedication to testing new ideas and driving impactful business outcomes through innovation

• Excellent communication, presentation, and negotiation abilities

• Proven ability to articulate ideas and concepts through compelling storyboards, wireframes, and prototypes

• A stunning online portfolio that showcases your design skills and collaborative process

Responsibilities:

• Apply your strategic mind to design innovative, end-to-end user experiences that beautifully balance user needs, business goals, and technical possibilities across both web and mobile.

• Craft intuitive user interface designs, robust architectures, and seamless functionalities, always adhering to usability best practices, design standards, and, most importantly, insights from user testing.

• Generate the best creative and innovative solutions, delivering them with excellence within project timelines and scope.

• Take ownership of the entire design journey, from initial concept to successful implementation and user adoption.

• Be a valuable contributor to the positive culture and high-quality standards of our creative team.

Benefits:

• Visa sponsorship

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

Experience Requirements:

• Experience in one or more areas of Computer Science, such as Large Language Model, Natural Language Processing, Natural Language Understanding, Neural Networks, Machine Learning, Deep Learning, Graph Representation, Data Management, Data Integration, Human-Computer Interaction, AI with Humans In The Loop or similar

• Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes

• Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals

Other Requirements:

• Available to work full time for 12 weeks during the summer

• Ability to design and execute a research agenda

• Returning to a degree program after completion of the internship

Responsibilities:

• focus on high-impact projects while closely working with our Research Scientists as their mentors

• participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences

• creating techniques that integrate domain-specific external data and human-centered approaches, prioritizing trustworthiness, explainability, and robustness

• explore how these data-driven and knowledge-intensive methods can transform and enhance tasks in natural language processing, database management, and artificial intelligence, especially within the HR domain

Benefits:

• very competitive salary package

• full benefits (medical, dental, vision & life insurance, etc)

Education Requirements:

• Degree in Computer Science or related discipline or equivalent practical experience

Experience Requirements:

• Ability to design software systems utilizing microservices architectures, container orchestration, data management, and cloud-computing

• Ability to apply engineering best practices to make architectural and design decisions that have been made in terms of functionalities, user-experience, performance, reliability, and scalability

• Demonstrated experience of production quality software development in Python, Java, and/or C or C++

• Demonstrated problem solving, interpersonal, and time management skills to handle complex situations effectively

• Strong communication skills, and the ability to work as a team lead with high EQ

Other Requirements:

• Self-motivated decision maker, frequently taking initiative to improve code the base and share best practices

Responsibilities:

• Serve as a liason between research and engineering teams and product managers

• Lead technical aspects of the project, mentor junior engineers for proffessional development

• Transform needs and requirements into technical specifications and solutions

• Design software architectures and lead development of solutions

• Keep track of new developments in research and engineering in ML/NLP and related fields

Benefits:

• very competitive salary package

• full benefits (medical, dental, vision & life insurance, etc)

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field

Experience Requirements:

• equivalent practical experience with an outstanding publication and service track record commensurate with experience

• Strong programming experience in one or more of the following: C, C++, Python, Java

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

Other Requirements:

• Ability to design and execute a research agenda

• Personal or professional experience in working with people of diverse backgrounds

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization

• Develop solutions for real world, and work on large scale problems

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:

• 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:

• 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:

• 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:

• 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.