Senior Software Engineer – Machine Learning for Activity 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 Senior Software Engineer with creative ideas in artificial intelligence, visual analysis, data storage, security and the production experience to prove it.

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 patients' healing experience and how the caretakers monitor patient well-being.

Who You Are:

You are an experienced software engineer with a deep understanding of building machine learning pipelines for activity recognition. 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.
  • 4 years of work experience or equivalent production-level experience with developing Machine Learning pipelines.
  • 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 encourage candidates with different backgrounds of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or military 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

Contact Us

Ouva, LLC
2325 3rd St Suite #214
San Francisco, CA 94107

hello@ouva.co

+1 (415) 692 3030