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

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 Uncertainty Estimation, Out-of-distribution, Statistics, Probability theory

Other Requirements:

• Deep knowledge of ML Uncertainty

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Define the Uncertainty at the different levels of Autonomous Driving

• Estimate Data-dependent Uncertainty and detect anomalous inputs

• Estimate ML model-based Uncertainty and detect anomalous outputs

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 3+ years of production or research experience in ML Infra, distributed training, model inference or GPU programming

Other Requirements:

• Ability to understand deep learning algorithms

• Familiarity with Azure/AWS/GCP cloud products

• Proficiency with Kubernetes clusters

• Experience with DDP and model parallelization techniques

• Strong communication and teamwork skills

Responsibilities:

• Own and lead the exploration of the latest technology of distributed training and inference optimization

• Build scalable and robust distributed ML training and inference pipelines

• Develop model benchmarking processes and tools

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 5+ years of safety experience in the transportation industry

Other Requirements:

• Strong understanding of electronic log compliance (ELD)

• Experience managing compliance for both local and non-local workforce

• Proven leadership skills

Responsibilities:

• Manage Driver Compliance

• Maintain Accurate Records

• Safety Training Programs

• Audit Readiness

• Policy & Procedure Development

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits