Software Engineer – Machine Learning for Visual Recognition

Have an engineering background? Use it to directly and ethically impact the experience of thousands of patients every day and around the world!

We are looking for a Software Engineer with creative ideas in artificial intelligence, visual analysis, data storage and security. Our team at Ouva combines empathetic design and innovative technologies to advance healthcare experience. With strong partnerships, contracts and a beautiful office in the Dogpatch area of San Francisco, we are transforming healthcare in ethical terms while building a sustainable, independent business.

What You'll Do:

You will work on a variety of innovative and meaningful projects, from developing vision machine learning algorithms for applications such as patient monitoring, to building a training infrastructure for the core machine learning platform. Your solutions will make a significant impact in how patients perceive their hospital experience and how the caretakers track patient well-being. Ability to empathize with users during the processes of check-in, waiting, wayfinding, and more, will be a point of success in optimizing the aspects of patient monitoring, patient flow, workflow optimization and more.

Who You Are:

You care deeply about bringing your unique engineering mind into creating a considerate and sustainable healthcare technology firm.

You are autonomous. You’ll take full ownership of your work, and you assume the responsibility for every detail, every step of the way.

Qualifications:

Minimum Qualifications:
  • BA/BS degree in Computer Science or related technical field or equivalent practical experience.
  • 2 years of work or educational experience in Machine Learning or Artificial Intelligence.
  • Experience with one or more general purpose programming languages including but not limited to: C/C++ or Python.
  • Experience with visual recognition, classification, insight generation and similar.
  • Exposure to deep learning frameworks including Keras, Tensorflow, Caffe, Torch.
Preferred Qualifications:
  • MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • GPU programming experience.

We greatly value, celebrate and support diversity in our business. We do not discriminate by race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We are open to discussing benefits and compensation based on your needs. When you apply, please provide a brief explanation in your application of why you are excellent for this role, while highlighting your previous experience. See more of our work at ouva.co.

To apply for this position, please send your resume, supplemental materials and letter to hello@ouva.co