About Delty

Transforming healthcare operations with AI agents

Tech description:

Full stack web application as well as code review tooling. We deal with GBs of codebases and documents to extract most relevant information and help our users design systems like a staff engineer at Google would.

Job description:

### **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 * **At least 3 years of experience** building and deploying machine learning systems in production. * **Strong foundation in machine learning** for structured (tabular) data, including feature engineering, regression or classification models, and ranking or prioritization problems. * **Experience with the full machine learning lifecycle**: data preparation, train/test splitting, evaluation, deployment, retraining, and monitoring. * **Solid backend engineering skills**: writing production-quality code, building services or batch jobs, and working with databases and data pipelines. * **Good system design instincts**: you understand trade-offs between model complexity, reliability, latency, scalability, and maintainability. * **Comfort working in a fast-paced startup environment with high ownership and ambiguity**. * **Ability to clearly explain modeling choices,** assumptions, and limitations to non-machine-learning stakeholders. **Bonus:** * Experience working with healthcare or operational decision-support systems. * **Experience building or integrating LLM systems** in production, such as retrieval-augmented generation, fine-tuning, or structured prompting workflows. * **Prior startup experience or founder mindset** — we value ownership, pragmatism, and bias toward shipping. * Experience with model monitoring, data drift detection, or **ML infrastructure tooling**. --- ### Why join * **Learn from seasoned Google engineers**: As former Google engineers who built systems at YouTube and Google Pay, we’ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply. * **High impact**: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly. * **Grow fast**: We’re iterating rapidly; you’ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions — a fast-track to becoming a senior engineer or technical lead. * **Challenging and meaningful work**: We’re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations — this is for you.

Skills:

Python, Machine Learning, Data Modeling, Data Analytics, Amazon Web Services (AWS)

Delty remote jobs

Machine Learning Engineer

Full stack software engineer