Full Stack Engineer, Machine Learning

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Company Description

Butterfly Network’s mission is to democratize healthcare by enabling universal access to superior medical imaging. We reinvented ultrasound technology by creating the world's first handheld, single-probe whole-body ultrasound system: the Butterfly iQ.This breakthrough technology reduces the cost of the traditional ultrasound system by miniaturizing it onto a single semiconductor silicon chip.

Butterfly harnesses the advantages of AI and cloud computing to deliver advanced imaging that is easy-to-use and built for the digital era.The Butterfly iQ and next-generation Butterfly iQ+ have received CE Mark and FDA clearance, and are being sold in hospitals and clinics around the globe.

Joining Butterfly Network is the opportunity to redesign the future of healthcare through the power of technology. Embark on a journey with us to maximize global impact, motivated by the idea that our products will change the lives of millions along with the people you love.

Job Description

Butterfly’s Deep Learning team develops AI algorithms that help clinicians both acquire images and automatically produce diagnostic interpretations. You will work closely with a team of research scientists, product managers and clinicians to develop the libraries, tools, dashboards and infrastructure necessary for the development of real-time, patient facing machine learning algorithms.

As part of our team, your core responsibilities will be: 

  • Grow and support the python-based software tools and frameworks used by our Deep Learning team to develop and efficiently evaluate machine learning algorithms.
  • Develop integration and profiling infrastructure for mobile and cloud deployment.
  • Build an engine and dashboards for autonomous large-scale dataset creation, curation and monitoring.
  • Augment our cloud-based annotation platform used for collecting clinical annotations and monitoring model performance in the field.

Qualifications

Baseline skills/experiences/attributes:

  • Fluency in Python
  • At least 3 years of industry experience building Python-based libraries.
  • A track record of owning business problems and delivering effective solutions.
  • Bachelor's Degree in Computer Science or equivalent experience

Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!):

  • Familiarity with server-side Python libraries such as Django or Flask
  • Experience in front-end web development, especially using React, Typescript
  • SQL (especially modern versions of PostgreSQL)
  • Containerization and orchestration technologies such as Docker, Kubernetes, ECS, EKS

You Deeply Identify with Core Butterfly Network Values:

  • Efficient & Speedy - you get work done in a fraction of the time as industry peers 
  • Intellectually Curious - you are thoughtful & inquisitive; people enjoy working with you because they learn from you
  • Mission-Driven & Committed - you are passionate about the company's purpose and are immensely productive
  • Team Oriented - you celebrate and take joy in the success of others on the team

Additional Information

We offer great perks: 

  • Fully covered medical insurance plan, and dental & vision coverage - as a health-tech company, we place great worth on our teams’ well-being
  • Pre-tax commuter benefits - we make your commute more reasonable 
  • Free onsite meals + kitchen stocked with snacks
  • 401k plan - we facilitate your retirement goals
  • Flexible Paid Time Off - recharge and come back ready to make an impact
  • Beautiful office in Palo Alto
  • Competitive salaried compensation - we value our employees and show it 
  • Equity - we want every employee to be a stakeholder
  • The opportunity to build a revolutionary healthcare product and save millions of lives! 

For this role, we provide visa assistance for qualified candidates. 

Butterfly network does not accept agency resumes.

Butterfly Network Inc. is an E-Verify Company and is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.


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Location

3-130 Palo Alto Square, 3000 El Camino Real, Palo Alto, CA 94306

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