Machine Learning Software Engineer, Cardio
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Passionate about building great software products?
At Tempus, software products are owned and developed by small, autonomous teams composed of developers, designers, scientists, and product managers. Your team helps to set goals, build the software, deploy the code, and contribute to a growing software platform that will make a lasting impact in the field of cancer research and treatment. Tempus Insights is our business to develop, validate and launch new predictive tests, in oncology and new disease areas, by leveraging our clinical + molecular + imaging data to provide novel insights to clinicians and patients.
Tempus builds software as nimble as our teams. Our modern full-stack tech stack - React and Node.js on cloud infrastructure - allows our teams to iterate rapidly and lead our industry in innovation. Our decentralized, microservice architecture and emphasis on automation allow us to deliver advanced solutions with confidence, and at scale
This person makes core contributions to the FDA device builds for Cardio. Their core responsibility is to understand, test, and ship the models including production infra for retraining.
What you will do:
Tempus has access to unique data in cardiology that will allow us to develop insights that have only recently become possible. You will work with research data scientists to launch new AI-enabled smart tests based on EKGs and other underlying cardiology information, which will help patients receive early treatment and save lives.
What you bring:
- Experience building complex distributed systems that handle large datasets and / or integrate with external APIs
- Experience with building and deploying deep learning machine learning models. This team will be responsible for shipping research-grade models to production.
- You are able to work in an ambiguous problem space with high uncertainty
- You can communicate well and clearly document your process to comply with a tightly regulated industry
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