Machine Learning Engineer

This is an early-stage startup revolutionizing healthcare through agentic AI, building an Autonomous Workforce Platform that delivers digital employees capable of performing entire job roles in healthcare operations — not just tasks — eliminating hiring, HR burdens, and human limitations. The vision is a world where healthcare organizations can instantly scale their workforce with digital employees who work faster, operate 24/7, and seamlessly integrate into complex clinical and administrative workflows.

Based in the heart of downtown Austin, this collaborative on-site team is led by founders with a proven track record of scaling SaaS businesses from 0 to 1. They’re committed to solving hard problems, building intuitive products, and fostering a culture of trust, ownership, and optimism.

Why Join?

• Be a foundational member of a team building a transformative healthcare AI product
• Solve meaningful problems that improve patient outcomes and streamline healthcare operations
• Work closely with experienced operators and engineers in a vibrant Austin office
• Thrive in a collaborative, in-person culture focused on innovation and impact

The Role

As a Machine Learning Engineer, you’ll design, build, and deploy AI-powered solutions to automate complex healthcare workflows. You’ll collaborate across teams to create scalable, production-ready systems that meet the stringent demands of the healthcare industry.

Key Responsibilities

• Develop, train, and deploy machine learning models to power healthcare automation solutions, such as predictive diagnostics and patient data processing
• Integrate and optimize LLMs and AI-driven tools for real-world healthcare applications, ensuring compliance with regulations like HIPAA
• Build and maintain scalable production systems, APIs, and data pipelines for healthcare data
• Collaborate with cross-functional teams to align AI solutions with clinical, operational, and business needs
• Prototype and iterate rapidly on new AI features, such as automated medical coding or patient triage systems
• Navigate and integrate with legacy healthcare systems (e.g., EHRs) while ensuring regulatory compliance
• Contribute to architecture decisions and technical strategy in a fast-paced startup environment

What They're Looking For:

• Startup Mindset & Initiative:
  Self-starter who thrives in fast-paced, ambiguous environments. Comfortable taking ownership and driving results without needing step-by-step instructions.
• AI & ML Expertise: 3+ years of professional experience building and deploying machine learning models in production. Hands-on experience with LLMs, deep learning frameworks (e.g., Tensor Flow, PyTorch), and healthcare-specific applications.
• Technical Excellence:
  Strong engineering fundamentals and sound decision-making. Experience with building scalable systems and APIs in production environments.
• Full-Stack Development
  
  Skills:
  
  Proficiency with REST APIs, web frameworks, and relational databases. Familiarity with the core tech stack is a plus:
  NodeJS / NestJS, Prisma, Postgre
  
  SQL, OpenAI / Gemini, Google Cloud Platform (GCP). Knowledge of healthcare data standards (e.g., FHIR, HL7) is highly desirable.
• Collaborative Spirit:
  Strong communication skills and a team-oriented mindset. Able to brainstorm, problem-solve, and iterate with colleagues across functions.