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

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.

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:

• 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.

Education Requirements:

• Degree in Computer Science, Engineering or a related field

Other Requirements:

• Prior experience as a Python Developer

• Good knowledge of Django, Flask or similar Python frameworks

• Familiarity with front-end technologies (JavaScript, HTML5, CSS3)

• Knowledge of ORM

• Familiarity with various testing tools

Responsibilities:

• Write effective and scalable Python codes

• Design and implement robust applications

• Debug applications

• Integrate user-facing elements with server-side logic

• Implement security and data protection

Responsibilities:

• Equipment assembly

Benefits:

• Marie Skłodowska-Curie Action scheme advantages

• Participation in web seminars

• Attendance at yearly meetings and international congresses

• Work at a modern office in Vienna

Education Requirements:

• Master's degree in bioinformatics/computational biology

Other Requirements:

• Fluent in R or Python

• Understanding of cellular and molecular biology

• Experience with SQL, JSON, XML

• Statistical analysis of large datasets

• Experience with biological databases (NCBI, Ensembl, UniProt, GEO, ArrayExpress)

• Knowledge of biological ontologies

• Knowledge of graph theory

• Experience with biological network modeling

Responsibilities:

• Meta-analysis of omics data

• Generation of a network-based molecular model

• Identification of compounds interfering with disease pathobiology

• Identification of drug combinations targeting synthetic lethal interactions

Benefits:

• A high-impact role in an emerging industry leader

• Competitive compensation and equity

• Employer-sponsored medical

• Dental and vision insurance (dependent on location)

• Open Vacation policy: take time off when you need it

Education Requirements:

• Electrical Engineering Degree (or equivalent)

Experience Requirements:

• 4-8 years experience in hardware development, including strong experience with ARM and other modern MCUs

Other Requirements:

• A system thinker that can define and guide a platform design

• Hands-on experience with bring up and troubleshooting boards and systems

• Low-cost and/or low-power portable consumer electronics design experience integrating video

• MCU interfaces, Bluetooth, WiFi, and USB sub-systems in a space-constrained product

• In-depth understanding of safety EMI and EMC compliance and certification

• Design experience with batteries, power management, and, power conversion

• Ability to work cross‐functionally. Strong interpersonal and communication skills

• Results and deadline-driven

• Able to work independently with little direction and multi‐taskConsummate team player

• Takes great pride and ownership in designs

Responsibilities:

• Architect and design low-cost, low-power wireless sensors

• Make tradeoffs with members of the mechanical and Firmware/ Software Engineering teams

• Investigate, study, and introduce new components

• Schematic capture and layout design

• Develop high-volume products that are designed for manufacturability

Experience Requirements:

• 4+ years of experience with Python

• Understanding of overall web development process

• Experience in building scalable backend (load balancer, etc)

• Enjoy learning new things and wear multiple hats

Responsibilities:

• Build & improve ML pipelines

• Design & implement REST API server for Visual Filter

• Provide scalable & stable API server for business customers

• Build tools for analyzing ML performances and user activity

• Optimize performances

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Associate's degree in Accounting or related field preferred; High school diploma required

Experience Requirements:

• 3+ years of experience in accounts payable

Other Requirements:

• Strong understanding of accounts payable principles

• Experience with NetSuite

• Proficiency in Excel and Word

• Excellent attention to detail and accuracy

• Strong organizational and time management skills

• Ability to work independently and as part of a team

• Excellent communication and interpersonal skills

Responsibilities:

• Process full-cycle accounts payable

• Review and verify vendor invoices

• Ensure accurate and timely payment of vendor invoices

• Reconcile vendor statements

• Maintain accurate accounts payable records in NetSuite

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 3+ years of administrative experience

Other Requirements:

• Exceptional organizational and time management skills

• Proficiency in calendar management tools

• Productivity software (e.g., Microsoft Office Suite, Slack, Jira)

• Strong written and verbal communication skills

• Ability to work autonomously

• Problem solving mindset

• Startup experience (preferred)

Responsibilities:

• Manage complex calendars

• Coordinate meetings

• Act as a central liaison for the Engineering team

• Organize team events

• Coordinate travel arrangements

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Bachelor's degree in Accounting or Finance; CPA preferred

Experience Requirements:

• 7+ years of progressive accounting experience, with at least 3 years in a management role

Other Requirements:

• Strong understanding of GAAP and internal control frameworks

• Extensive experience with NetSuite

• Experience in a high-growth environment

• Proven ability to lead, mentor, and develop a team

Responsibilities:

• Manage and oversee daily accounting operations

• Ensure accuracy of financial statements

• Implement monthly close processes

• Work with Controller to develop accounting policies and internal controls

• Lead, mentor, and develop the accounting team

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Reinforcement Learning, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on Reinforcement Learning

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Generative Modeling, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on marginal, conditional, and joint prediction

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Foundation Modeling, Perception / Behavior, Computer Vision

Other Requirements:

• Deep knowledge of Autonomous Driving

• Experience with sensor and behavior simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel end-to-end algorithms for Autonomy Stack

• Conduct research on foundation models for driving

• Develop robust, interpretable, and explainable Autonomous Driving models

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Mapping, Perception / Computer Vision

Other Requirements:

• Deep knowledge of ML Mapping

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Work on the Offline and Online Mapping Research tracks

• Define the business metrics for Mapping assessment

• Continuously adjust the optimal Mapping feature format