InCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.
About the role:
- As a Senior Machine Learning Engineer, you will help them transform healthcare through AI.
- Mission-critical, be part of our growing team (and company).
- Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
- Drive the change in healthcare:
You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
- Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt
Desired skills and experience:
Required:
- 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
- Graduate degree in Computer Science, Statistics, or related quantitative field
- Solid proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
- Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
- Healthcare experience is valuable but not required
You have hands-on experience in:
- Developing and implementing modern LLM models and transformers and deploying ML models in a pr