ML Platform Engineer – AI-Native SaaS (Healthcare)

midstream; San Francisco (CA); Hybrid; USD 160,000 - 230,000; Full time

Job summary

Midstream is recruiting a software engineer to shape a ML and AI native platform at a formative stage. You’ll own components across the SaaS platform, API design, ML features, and security, with a focus on scalability, reliability, and performance in healthcare data contexts.

The role is hybrid, based in the San Francisco Bay Area, requiring collaboration with founders and cross-functional teams to deliver robust, user-friendly interfaces and secure data handling.

Qualifications

• Strong problem-solving skills.
• Excellent communication across cross-functional teams.
• Thrives in a fast-paced, self-driven environment.
• Proficiency in Python and TypeScript.
• Experience building scalable SaaS platforms with APIs and RBAC.
• Familiarity with cloud services (GCP, AWS) and IaC tools.

Responsibilities

• Own critical components of our cloud-based platform.
• Develop SaaS components including Identity & Access Management.
• Design and implement robust APIs and data models.
• Contribute to ML platform development and data pipelines.
• Build UI and ensure secure, compliant handling of data.

Skills

Problem-Solving

Communication

Adaptability

Python

Typescript

SaaS Platform Development

Cloud Platforms

RBAC

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Terraform

AWS

GCP

Identity & Access Management

API Design

Job description

Midstream is recruiting a software engineer to shape a ML and AI native platform at a formative stage. You’ll own components across the SaaS platform, API design, ML features, and security, with a focus on scalability, reliability, and performance in healthcare data contexts.

The role is hybrid, based in the San Francisco Bay Area, requiring collaboration with founders and cross-functional teams to deliver robust, user-friendly interfaces and secure data handling.