Principal Machine Learning Engineer

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. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

As a Machine Learning Engineer, you will play a critical role in the development, deployment, and optimization of machine learning models with a strong emphasis on large language models (LLMs) and MLOps. You will work closely with cross-functional teams to design, implement, and scale machine learning solutions that address key business challenges.

• Product Innovation: engage with healthcare providers, Zus product managers and engineers to discover opportunities to innovate to better empower providers at the point of care and at the population level. Develop prototypes and deploy to users to test and improve upon your innovations.
• Research and Innovation: Stay up-to-date with the latest advancements in machine learning and AI. Conduct research to explore new methodologies and techniques, and integrate them into our product offerings.
• Model Development: Design, build, and refine machine learning models. Develop innovative algorithms and approaches to enhance model performance and robustness.
• Data Pipeline and Preparation: Collaborate with data engineers to build and maintain robust data pipelines. Ensure data quality and availability for training and evaluation purposes.
• Machine Learning Ops: Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of machine learning models in production. Develop feedback mechanisms to improve models with human oversight. Develop CI/CD pipelines and automate workflows to ensure reliable and scalable model operations.
• Collaboration: Work closely with software engineers, product managers, and other stakeholders to understand requirements, provide technical expertise, and deliver high-quality solutions.

• 3+ years of experience in machine learning, with a strong focus on model development and MLOps. Proven track record of working with large language models (LLMs) is highly desirable. Healthcare experience is also a plus.

• Proficiency in programming languages such as Python, Java, or Go.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with MLOps tools and platforms.
• Familiarity with cloud services (e.g., AWS, GCP, Azure) and distributed computing.
• Knowledge of natural language processing (NLP) techniques and libraries.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong verbal and written communication skills. Ability to explain complex technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, or Statistical Science or equivalent experience. Advanced degrees are a plus.
• Demonstrated ability to work effectively in a collaborative team environment.

We will offer you…

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity

• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO

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

Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.

We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.