AIML Engineering Co-op

Boston, NH - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Who we are

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API embedded components and direct EHR integrations. Founded in 2021 by Jonathan Bush co-founder and former CEO of athenahealth Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zuss mission is to catalyze healthcares greatest inventors by maximizing the value of patient insights - so that they can build up not around.

AI at Zus allows personalized coordinated healthcare driven by information that is comprehensive accessible and timely. Zus is NOT an AI company but many of its product features are AI driven.

What were looking for

We are looking for an eager software engineering co-op to help build the next generation of healthtech tools. This co-op will be part of the AI group. This group has members embedded in the product teams and also works independently on proof-of-concept projects. The ideal candidate will be able to contribute in either situation.

In your role as an AI/ML Engineer Co-op you will under the guidance of senior AI group members be responsible for conducting research to explore new methodologies and techniques and integrating them into our product offerings. You will develop prototypes to test and improve upon your innovations and develop feedback mechanisms to improve models with human oversight. You will work with software engineers to help deliver CI/CD pipelines and automate workflows to ensure reliable and scalable model operations. You will be responsible for presenting your learnings and helping the team leverage these methods and techniques.

As part of our team you will

Algorithm & Experimentation: Formulate hypotheses build rapid prototypes and run experiments
Evaluation & Diagnostics: Design task-specific metrics and effective methods for their estimation
Collaboration: Work cross-functionally with engineers product managers and other AI group members
End-to-End Ownership: Take prototypes to production collaborating with engineers to deploy and continually monitor and evaluate models

Youre a good fit because you have

Hands-on experience with LLMs and classical ML methods (must-have)
Hands-on experience with agentic frameworks and tools such as LangGraph Strands LangFuse MCP etc.
Proficiency in Python (must-have)
Hands-on experience designing offline or online experiments: crafting task-specific metrics computing bootstrapped confidence intervals and conducting slice-based error analysis
Familiarity with cloud services (e.g. AWS GCP Azure)
Demonstrated curiositycomfortable jumping into unfamiliar domains papers or codebases and learning fast
Strong verbal/written skillsable to explain complex ML concepts to diverse stakeholders
Demonstrated ability to work effectively in a collaborative team environment

Its a bonus if you have

Hands-on experience with LLMs or classical ML methods in production environments
Experience partnering with software engineers to ship monitor and iterate on AI/ML systems in production
Healthcare domain experience (claims EHR clinical NLP)
Bachelors degree in Computer Science

$30 - $30 an hour

You should be located in the Boston MA area and willing to join us in the office or regularly meet with a local mentor for collaborative work. This role will start in January and run through June.

We will offer you...

Competitive compensation that reflects the value you bring to the team

Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it).

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Who we areZus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API embedded components and direct EHR integrations. Founded in 2021 by Jonathan Bush co-founder and former CEO of athenahealth Zus partners with HIEs and ...