Senior Software Engineer

Senior Software Engineer - Machine Learning Infrastructure (K8s, Python, NoSQL)

  • San Francisco, CA
  • $160,000 - $185,000
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A bit about us:

Headquartered in the heart of Silicon Valley, we are a Machine Learning Software Company making the world a better place by enabling research institutes & infectious disease centers to tap into fundamental real world patient data to better inform their research. Without this data, drug companies rely heavily on trials and lab studies which do not perfectly simulate the real world. We help them paint the full picture so that raising funds for safe and effective treatments is more accurate and evidence based than ever before. Our platform allows patients 100% access to their full medical history, and leverages NLP & Computer Vision to help healthcare organizations fight the rarest of diseases for safe, effective & evidence based treatments.

Are you a Senior Software Engineer or Infrastructure Engineer with 5+ years of production setting experience working with Kubernetes, Python & NoSQL databases? Please keep reading!

Why join us?

Want to improve outcomes for patients & eliminate archaic ways of accessing data for the healthcare industry? We do too!

  • 100% Remote, flexible hours & unlimited PTO!
  • Market level base salary for the San Francisco Bay area!
  • Meaningful equity in a high-growth start-up gaining momentum!
  • We went Seed round to Series B at lightning speed!
  • A voice and seat at the table with CEO/CTO and VP of Engineering.
  • A chance to build a movement within the healthcare tech space!
  • Ability to learn and develop understanding with Machine Learning infrastructure!

Job Details

Is your background a fit? We are ideally looking for an ML Infrastructure Engineer to ensure that state of the art NLP and image processing models are deployed efficiently and scalable within our systems.

Apply if you have a Bachelor's in Computer Science and the following...

  • 4 - 7 years of experience in production building performant software and infrastructure
  • 2+ years of experience working with Kubernetes in production is a must
  • Your preferred coding language is Python
  • Strong SQL Database fundamentals & experience with NoSQL databases
  • Experience building and scaling Microservices platforms
  • You've made strong contributions to CI/CD pipelines
  • Cloud experience with GCP (preferred), AWS or Azure (any are great)

Bonus skills (not required):
  • Have experience working with one or more deep learning frameworks, i.e. PyTorch or Tensorflow
  • Have experience training models in cloud environments
  • Experience working with a Data Science or Machine Learning team

Do you get a thrill out of building and scaling high performing software which helps the world become a better place? Then we would love to hear from you!

Easy Apply Now
Easy Apply Now
Job Details
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Job Type
$160,000 - $185,000