Machine Learning Engineer

About Us

Delty is building the healthcare’s AI operating system. We create voice-based and computer-based assistants that streamline clinical workflows, reduce administrative burden, and help providers focus on patient care. Our system learns from real healthcare environments to deliver reliable, context-aware support that improves efficiency and elevates the provider experience.

Delty was founded by former engineering leaders from Google, including co‑founders with deep experience at YouTube and in large‑scale infrastructure. You’ll get to work alongside people who built massive systems at scale — a chance to learn a lot and contribute meaningfully from day one.

We believe in solving hard problems together as a team, iterating quickly, and building software with long‑term thinking and ownership.

What You’ll Do

• Build and own production machine learning systems end-to-end : from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real‑world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems (for example, identifying high‑risk or high‑priority cases).
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision‑making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails — balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable, maintainable machine learning solutions.

What We’re Looking For

Bonus

Why join

About the company

Delty (YC X25)

#J-18808-Ljbffr