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# Machine Learning Engineer

- **Company:** Verana Health
- **Location:** New York, NY, United States
- **Salary:** $210,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Clinical Data Repository, Python (Programming Language), Machine Learning, Software Engineering, Software Systems, Unstructured Data, Rust (Programming Language), Data Logging, Enterprise Software Applications, Cloud Platform System, Large Language Models, Backend, Information Technology, Machine Learning Operations, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_12c8fb8ab0766f5be8711b1c9d467e51

## About the Role

* 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary.
 * Fluency in one or more backend programming languages including Python, Golang, Rust, Java (we use Python).
 * Familiarity with modern ML/LLM techniques and frameworks.
 * Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
 * Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs). - this is a bonus and not a requirement
 * Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
 * Strong problem-solving skills and attention to detail.
 * Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
 * An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team, in a customer-focused and fast-paced environment.
 * We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

## Description

We're hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability., * Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers.

 * Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment.
 * Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.).
 * Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of ML for healthcare.
 * Ensure robust monitoring, logging, and error handling for deployed systems.
 * Stay updated on the latest advancements in machine learning and AI.
 * Cultivate a robust ML engineering and product culture that drives the company forward.