AI Jobs

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:

• 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:

• 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.

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:

• 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:

• 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

Education Requirements:

• BS or MS in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or any other related discipline

Experience Requirements:

• Strong background in petroleum engineering with experience on Electrical Submersible Pumps

• Experience with software development and product ownership is valued

• Experience with artificial lift design, diagnosis, and optimization for ESPs, SRPs

• Experience in machine learning, data analytics, deep learning, system modeling, and control systems is beneficial

• Working knowledge of commercial well testing, and nodal analysis software packages

Other Requirements:

• Strong analytical skills and sound business awareness

• Proficiency in Excel VBA preferred but some programming experience in other languages will help

Responsibilities:

• Design and implement scalable algorithms in a team environment

• Define specifications for productization and deployment

• Calibrate existing algorithms for various hardware configurations and nybl applications

• Self-identifies, troubleshoots and resolves issues found within product software

• Independent analysis based on digital oilfield practices and technologies for field development planning and production optimization

Education Requirements:

• Must have a minimum of Bachelor’s degree or relevant experience

Experience Requirements:

• 5 years or more of professional software development experience

• 3 or more years of experience developing .NET/C# web applications using Microsoft Development Products

Other Requirements:

• Must have good understanding of Object Oriented Programming

• Define, design and build varied components of web-based and/or mobile applications

• Experience using WPF (Windows Presentation Foundation) to build Windows desktop applications is a plus

• Experience using JavaScript frameworks/libraries (Angular, React, JQuery, D3) is a plus

• Experience with SQL Server (relational databases) and no-SQL Databases (Apache Cassandra or similar)

• Strong analytical skills – be a problem solver and be able to develop complex algorithms

• Strong familiarity of software architecture and design patterns

Responsibilities:

• Familiar with the software development life cycle (SDLC) from analysis to deployment

• Comply with coding standards and technical design

• Believes in systematic approach to developing the system through clear documentation (flowcharts, layouts, & etc) of functionality, address every use case through creative solutions

• Adapts structured coding styles for easy review, testing and maintainability of the code

• Integrate the developed functionality and/or component into a fully functional system

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• 0.2% - 1.2%

Experience Requirements:

• 6+ years

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control

Benefits:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.1% - 1.2%

Experience Requirements:

• 6+ years