about 4 hours ago
Base Salary
$190k - $250k/yr
Responsibilities
- Act as the technical lead and mentor for a small, high-impact team of engineers.
- Write high-performance Python code and utilize frameworks like Ray for distributed computing.
- Spearhead the deployment of complex ML algorithms into scalable cloud environments.
- Design and integrate robust cloud-data systems for managing unstructured medical datasets.
- Work cross-functionally to understand and support ML training and production needs.
- Utilize AI-powered development tools to enhance engineering workflows.
Requirements
- 8+ years of professional software engineering experience focused on ML infrastructure or distributed systems.
- Experience mentoring peers and leading technical projects.
- Ability to write clear, well-tested, and scalable Python code.
- Deep understanding of modern distributed computing architectures and cloud-data workloads.
- Familiarity with infrastructure as code tools like CDK or Terraform.
- Knowledge of distributed computing frameworks such as Ray and Kubernetes.
- Experience with cross-language bindings for high-performance computing.
- Prior experience in the healthcare domain or with image-based algorithms is a plus.