Cleerly is seeking an experienced Staff Machine Learning Engineer to architect, scale, and advance our machine learning platforms that bridge AI innovation and production in regulated healthcare.
Requirements
- 12+ years of experience designing, implementing, and optimizing AI and ML systems, ideally in regulated healthcare or clinical domains.
- Deep technical expertise in ML pipelines, distributed model serving architectures, and production ML lifecycle management.
- Proficiency in Python, Java, or similar, with extensive programming experience establishing reproducible ML workflows, coding standards, and software engineering best practices for AI/ML applications.
- Advanced experience with AWS (including SageMaker and S3), ML infrastructure frameworks such as MLflow and Terraform, and exposure to platforms like Databricks, with a proven track record of implementing end-to-end ML systems and optimizing platform performance, scalability, and operational efficiency.
- Strong expertise in regulatory and compliance requirements for AI/ML (FDA, HIPAA), able to design systems that are inherently compliant, reproducible, and auditable.
Benefits
- 15% target annual bonus
- Stock options
- Paid benefits
- Employee perks