Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Competitive pay rate

• CMU and ARDMS/ARRT/CCI certification reimbursement

• Free parking

• Fully-paid cross training program in Georgia

Experience Requirements:

• At least 12 months of clinical sonography experience

• Ability to lift equipment and/or assist patients onto the exam table as needed

Other Requirements:

• Hold a certification in ultrasound in one of the following registries (having both is a plus): General Ultrasound: ARDMS – (AB), (OB/GYN) or ARRT - RT(RDMS) and/or Vascular Ultrasound: ARDMS – RVT (VT), ARRT – RT (VS), or CCI – RVS

• Have been fully vaccinated or are willing to receive a COVID-19 vaccination and booster (religious/medical exemptions are allowed)

Responsibilities:

• Perform noninvasive general and vascular ultrasound procedures independently with remote support

• Complete preliminary reports for interpreting physician review

• Assist patients from check-in through exam completion and provide white glove, compassionate service

• Operate as an Imagen liaison for the practice

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• Bachelor's degree in a technical field, or equivalent practical experience

Experience Requirements:

• 8 years of experience in program management

• Working understanding of ML concepts and terminology

• Significant experience in creating scalable and repeatable processes involving multiple stakeholder groups

• Experience in compliance and the regulatory space is a must

• Experience in team operations/software development

Other Requirements:

• Experience managing diverse group of stakeholders & leading scaled communications

• Strong attention to detail & organizational skills

• Experience with high-visibility projects involving multiple Directors/VP-level stakeholders

Responsibilities:

• Architect and implement a robust, end-to-end compliance and risk management program tailored to Google DeepMind’s specific needs and regulatory environment

• Develop a set of clear, quantifiable metrics and key performance indicators (KPIs) to objectively measure and track the program's effectiveness and identify areas for improvement

• Prepare and deliver regular reports to senior management, providing actionable insights into the program's overall status, emerging risks, compliance performance, and recommended next steps

• Partner closely with cross-functional teams (AI Platforms, Infrastructure, Data Research and Security orgs) to embed compliance and risk management principles directly into core business processes, ensuring proactive risk mitigation

• Bring foresight of future regulatory developments to inform the strategy of what the data compliance team should be focusing on, so that we can stay ahead of the regulatory landscape

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• 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

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• Experience fine-tuning large models (e.g., supervised, RLHF)

Other Requirements:

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

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

• Software Engineering experience and experience working on large-scale ML projects highly desirable

• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.

• A passion for Artificial Intelligence

• Great communication skills and proven interpersonal skills

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.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• 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

Other Requirements:

• 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

• on-site gym

Experience Requirements:

• You have substantial experience operating as an HR professional, preferably some of which was in a small but fast growing business, where you had to build innovative HR practices and frameworks yourself

• You enjoy a blend of partnering and project work and can seamlessly move from one to the other

• You possess an outstanding understanding of human behaviour including an understanding of self

• You are able to build solid relationships with people quickly and have a high sense of empathy; you put them at ease and create understanding.

Other Requirements:

• Being extremely organised, you are used to working at a very quick pace and balancing many different tasks.

• You are proactive and see what needs to be done.

• You can effectively navigate ambiguity and enjoy changeable environments where you can implement creative and innovative ideas.

• You enjoy variety and feel that no task is too big or too small.

• You are inventive and enjoy managing your own work and projects.

• You are looking for a career defining role in a mission-driven and pioneering organisation. The chance to be a key part of something extraordinary!

Responsibilities:

• Partnering and coaching managers to develop their skills and drive a high performance culture

• Delivering high impact solutions to challenges including talent development, organisation design, and leadership capability

• Drive delivery of cyclical People & Culture processes including annual performance evaluations, compensation planning, and promotion processes

• Run operational people processes exclusive to Google DeepMind.

• Building an equitable and fair environment for employees by identifying workplace culture gaps and developing solutions against them.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Experience Requirements:

• Extensive experience operating as an HR leader, preferably in a mix of small but scaling businesses and larger, matrixed companies.

• Experience thought partnering 1:1 with an executive.

• Able to effectively navigate organisational complexity.

• You enjoy coaching and developing individuals to do their best work and creating a supportive environment for individuals to thrive.

• You have deep working knowledge across HR functions, including organisational design, learning and development, and reward and performance, and are able to employ this effectively when delivering strategic guidance to leaders.

Other Requirements:

• Excellent understanding of human behaviour, including a proven understanding of self.

• You can turn your hand to most things and if you don’t know the answer you are tenacious in finding out.

• Ability to travel as needed to offices in North America or EMEA and to occasionally work on different time zones.

• You are seeking a career defining role and are ready to commit to this long term mission and the chance to create a real difference!

Responsibilities:

• Drive Business Strategy and Outcomes

• Leadership

• Change Agent

• People Partnering Leadership

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• PhD in Computer Science, or Machine Learning related field

Experience Requirements:

• Experience with people understanding/generation

• Experience working with VLMs

Other Requirements:

• Proven experience of ML frameworks such as TensorFlow/JAX

• Experience in applying experimental ideas to applied problems

• Cross functional collaboration experience (w/ other eng/researchers)

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, with the chance to see your work make a difference.

• 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

• on-site gym

Education Requirements:

• BS degree in Computer Science, Engineering, related fields or equivalent practical 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

Other Requirements:

• A curiosity about Google DeepMind's mission and AI / Machine Learning

• Flexible, adaptable and highly responsive to the needs of the project, team and wider group

• Knowledge of data centre infrastructure and operations

• Knowledge of cloud infrastructure

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

• on-site gym

Experience Requirements:

• You are passionate about AGI & proactive about learning and acquiring knowledge to enhance your domain knowledge

• You thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision

• Knowledge and expertise in project/program management with the skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change

• Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business stakeholders

Other Requirements:

• You're a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions

• Possess knowledge and familiarity with technical concepts such as information theory, mathematics, technical architectures, statistics, computer science, machine learning or reinforcement learning

• BS degree in Computer Science, Engineering, or related technical field

• 8 years of experience in program management

• Knowledge of Software Development Lifecycles

• Experience with end to end delivery while partnering closely with Research team

• Product Management experience (direct or partnering closely)

Responsibilities:

• As a Technical Program Manager, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives.

• You will work with product managers, researchers, engineers, and stakeholders to define project scope, goals, timelines, and resource requirements.

• Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans, etc.

• Work with your team to organise and optimise research into clear goals and objectives.

• Effectively translate technical information to non-technical audiences, ensuring clarity and alignment.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• BS degree in Computer Science, Engineering, or related technical field

Experience Requirements:

• 8+ years of leading large-scale engineering projects, preferably across multiple geographies and time zones

• Demonstrated success in product launch and/or go-to-market execution

• Strong understanding of ML/AI principles and their distinctions from traditional software development

• Experience managing multilingual project requirements and deliveries

Responsibilities:

• Scope and drive complex and ambitious programs cutting across multiple teams, manage simultaneous projects balancing between short-term deliveries and setting programs up for long-term success

• Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change

• Bring together diverse teams and members for fast-paced deliveries

• Be the trusted owner of the status of your projects.

• Build strong relationships with key stakeholders and influence action and outcomes without direct authority, ensuring alignment among the stakeholders