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Machine Learning Software Engineer, Google Health at Google (London, UK)

Minimum qualifications:

  • Bachelors degree in Computer Science, a related field, or equivalent practical experience.
  • Experience working with Python.
  • Experience in Machine Learning and working with statistics.

Preferred qualifications:

  • Masters or PhD degree in Computer Science or a related field.
  • Experience with Machine Learning in the health domain.
  • Experience conducting rigorous deep learning experiments.
  • Working knowledge of Tensorflow.
  • Interest in fundamental research and its application into healthcare.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Machine Learning Software Engineer for Google Health, youll work on some of the biggest challenges in medicine. You will collaborate closely with a team of Researchers, Clinician Scientists and medical experts to develop novel algorithms and take them into production, enabling Machine Learning to benefit patients in the real world. We are committed to take our models through clinical studies that evidence their benefit in the real world and ultimately to bring our work safely into clinical practice. Our flagship mobile application, Streams, is already used in hospitals where its helping clinicians provide care to their patients now, while also laying the framework to apply our AI research in future.

Health Research has made major advances in healthcare AI research: detecting eye disease more quickly and accurately than experts, planning cancer radiotherapy treatment in seconds rather than hours, and working to detect patient deterioration before it happens with electronic records.

Fundamental research is at the core of Health Research - the multidisciplinary team collaborates with partners to publish novel research in renowned scientific journals. They then work to apply this research into the medical field, whether through Streams, our clinical assistant app, or other clinical hardware and products developed in Google. Working alongside colleagues across Google, youll help make this vision a reality.

Responsibilities

  • Design, implement and deliver complex pieces of research and infrastructure as part of a multi-functional Clinical Engineering team.
  • Implement and evaluate cutting-edge machine learning algorithms over healthcare data.
  • Manipulate and evaluate large and complex medical datasets.
  • Work with a variety of internal and external stakeholders, including Regulatory Advisors, Clinicians and Research Scientists/Engineers.
  • Contribute to the publication of results in leading scientific journals.
At Google, we dont just accept differencewe celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.