Machine Learning Engineer 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 design, develop, test and launch a suite of automated interpretation tools for real-time, patient-facing clinical needs.

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

• Developing deep learning models that exhibit superhuman performance on critical clinical tasks.
• Optimizing model performance to enable real-time inference on mobile platforms.
• Formalizing clinical tasks into machine learning problems, defining their corresponding annotation tasks and evaluating machine learning models to ensure they are both safe and effective.
• Developing our next generation of machine learning infrastructure that allows us to continue to scale and increase development velocity.

Qualifications

Baseline skills/experiences/attributes:

• At least three years of experience in Computer Vision or Machine Learning.
• At least two years of experience in one or more of the following: TensorFlow, PyTorch, Caffe.
• At least two years of experience using numpy, pandas, and jupyter.
• A track record of owning business problems and delivering effective, well tested, and well documented solutions

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

• SQL (especially modern versions of PostgreSQL)
• Familiarity with C++, Swift and / or Kotlin
• 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 overlooking the Flatiron building
• 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.