about 3 hours ago
Base Salary
$180k - $230k/yr
Responsibilities
- Build and own the infrastructure layer for underwriting models.
- Ensure training is reliable, reproducible, and scalable.
- Develop the API layer for real-time quoting.
- Manage latency, reliability, and scalability of the quoting system.
- Facilitate data science iteration by building testing and validation infrastructure.
- Streamline the process from idea to production-ready model.
Requirements
- Proven experience in building ML or data infrastructure in production at scale.
- Deep proficiency in Python and experience with large datasets.
- Experience with model training pipelines and low-latency model serving.
- Ability to create tooling that enhances productivity for data scientists.
- Capability to own systems end-to-end and maintain reliable production infrastructure.
- Genuine interest in data science and modeling.
Benefits
- High ownership and responsibility from day one.
- Opportunity to influence healthcare access and improve lives.
- Growth opportunities as the company expands.
- Work on meaningful AI applications in healthcare.
- Collaborative and fast-paced work environment.