Platform Lead Engineer
## Job Description
We are looking for a responsible, motivated, and self-directed Platform Lead Engineer to lead the continued development and maintenance of our cloud-scale machine learning platform. This system houses billions of data points across hundreds of thousands of patients. Through this effort, you will enable clinicians and data scientists to perform groundbreaking research in obstetric anesthesia. Experience in ML Ops or Dev Ops is essential; machine learning experience is not required. Previous management experience is a plus.
## Preferred Qualifications
1-4 years experience with
- Microservice system architecture
- AWS or GCP (SQS, S3)
- Docker and Kubernetes
- Maintain and develop our in-house ML platform.
- Manage the development of new user interfaces for this platform.
- Facilitate deployment and scaling of dockerized pipeline containers.
- Perform data queries for new data ingestion and extraction.
- Generate data for machine learning studies.
- Oversee quality control and best practices for the ML platform.
Job Type: Full-time
Pay: Up to $120,000.00 per year
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Retirement plan
- Vision insurance
- 8 hour shift
Work Location: Remote
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