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Arterys: Machine Learning Scientist


Seeking a Machine Learning Scientist to be responsible for developing novel deep learning-based approaches to automate many aspects of medicine, including radiology, disease diagnosis and preventative medicine.



Company: ArterysArterys
Location: San Francisco, CA
Web: arterys.com
Position: Machine Learning Scientist

_Contact_:
Email ai-careers@arterys.com.

Arterys is working on applying artificial intelligence to create algorithms that will impact the lives of millions of people. We are looking for passionate and talented deep learning experts to advance the field of medicine.

Much of radiology consists of performing tedious tasks that would greatly benefit from automation, such as segmenting anatomical regions, characterizing lesions and writing reports. Additionally, non-radiologist clinicians who make treatment decisions often do not have the ability to synthesize the myriad components of available clinical information to make the best possible treatment decisions for their patients. Arterys’ goal is to use the latest machine learning technology to solve these problems, help clinicians work more efficiently, and make a dramatic impact on patient outcomes.

As a member of the Machine Learning team at Arterys, you will be responsible for developing novel deep learning-based approaches to automate many aspects of medicine, including radiology, disease diagnosis and preventative medicine. You’ll spend time prototyping novel algorithms, translating them into production-level code, and integrating them into our state-of-the-art cloud-based software. You’ll develop beautiful tools from messy, real-world datasets and you’ll help improve the lives of millions of patients.

Required Skills

  • Strong background in machine learning and deep learning, particularly convolutional neural networks
  • Strong Python experience
  • M.S. or Ph.D. in computer science or a related engineering discipline
  • Fluency with modern deep learning packages, particularly TensorFlow and Keras
  • Experience in production software development and unit testing

Nice to Haves

  • Experience with medical data
  • Experience building cloud infrastructure with various providers (AWS, Azure, Google Cloud Platform)
  • Knowledge of Linux systems administration and architecture
  • Knowledge of container management systems, particularly Docker
  • Experience with crowdsourcing platforms (Mechanical Turk, Crowdflower, etc.)

One of our goals in developing safe and effective medical technology is to ensure that all individuals, including those who may come from socially disadvantaged populations, have access to the same high quality healthcare. To advance this goal, we feel it is important to recruit a diverse workforce. We therefore encourage women and other underrepresented minorities to apply to this position to ensure that a diverse set of experiences and views is represented within our team.

Arterys is an Equal Opportunity Employer 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. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

If you are qualified and interested in the above position, please e-mail your resume and a short cover letter, including a description of your experience with deep learning, to ai-careers@arterys.com. Please include “Machine Learning Scientist” in the subject line.