About UnityAI

UnityAI is an AI startup building the future of healthcare operations. With a $4M seed round from Max Ventures, Whistler Capital, Company Ventures, Nashville Capital Network, and other deeply connected supporters, we’re on a mission to empower healthcare providers with intelligent tools and transform how patient care is delivered.

Why we’re hiring

UnityAI builds AI applications that help our customers (healthcare providers) deliver better care to their patients. We instrument these applications, logging information about how the application is performing, who is using it, and how it is being used. Downstream, we collect data on how the application and its predictions impact care delivery, customer operations, and customer financial performance.

As a Data Engineer at UnityAI, you will be responsible for architecting, developing, and operating data and machine learning pipelines. You will assist UnityAI in monitoring and evaluating pipeline performance, both from an internal perspective and from the customer’s perspective. You will help form the data platform team, where you will collaborate on core data operations across many clients. Your internal customers are product teams and data scientists. Externally, you will help clients shape and move data to support their objectives. 

Since UnityAI is an early-stage startup, you will have the opportunity to both shape the role and the development of our products. As UnityAI grows, the person in this role will have significant opportunities for professional growth. 

In this role, you’ll help lead:

• Synthetic data pipeline development: development of synthetic data pipelines to support scenario-based testing, non-PHI environments, application development, and the development and testing of agents. 
• Client data integration: design and implement pipelines and select transformation abstractions to make client data integrations efficient and effective. 
• ML pipelines: Conduct thorough experiments and testing to evaluate and validate the performance of models on tasks relevant to our objectives.
• ML system development and maintenance: Develop and maintain robust machine learning systems, implementing best practices in MLOps for model deployment and maintenance using containerization and pipelines.

What you’ll need to be successful:

We value demonstrable knowledge and the ability to deliver real-world solutions above formal education. Candidates are expected to have experience and/or interest in learning:

• Cloud and data technologies: Experience with Google Cloud services, proficient in using SQL for complex data retrieval, manipulation, and management.
• Programming and modeling: Advanced proficiency in Python, specifically for data modeling and transformation. Familiarity with the Python data science stack, including libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch.
• Containerization and pipelines: Practical experience in using containerization technologies (e.g., Docker) and orchestrating pipelines for machine learning model deployment and maintenance (e.g., KubeFlow).
• Mathematics and statistics: Strong foundation in mathematics with a focus on statistics, particularly Bayesian statistics, to support advanced analytics and machine learning tasks.
• Machine learning: Solid understanding of machine learning algorithms and principles, with the ability to apply these techniques effectively to solve real-world problems in a healthcare context.
• Healthcare domain expertise: Knowledge or eager willingness to learn about the healthcare industry and landscape, including the economics of healthcare, how hospitals and healthcare providers operate on a daily basis, and healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR).

Additional values, skills, and mindsets include:

• Extreme ownership: We are a small and mighty team. When you find an issue that needs to be handled, your first thought should be to take ownership and get it done.
• Collaboration and communication: Because we are a small, early-stage startup, everyone needs to be contributing their maximum in the areas where their talents and ability are best suited. That means communicating eagerly and collaborating with others to achieve our goals in the most efficient way possible.
• Big-picture thinking: Everyone needs to care a lot about our broader business goals and understand how their daily work drives toward those goals.
• Velocity and delivery: You ship solutions efficiently and effectively, maintaining a balance between speed and quality.
• Sustainable development: We want our systems to be characterized by reliability, security, and safety. You’ll need to ship quickly while keeping an eye on minimizing technical debt.
• Adaptability: We’re in a stage of rapid experimentation and prototyping, so you will need to be comfortable with ambiguity, change, and uncertainty. Your key priority may change tomorrow; if that doesn’t excite you, this may not be the right fit.

What we offer

• Competitive compensation package, including equity options
• Medical, Dental, Vision, HSA, Life, Accident, Hospital, and Critical Illness insurance
• Flexible work hours and vacation policy
• 401(k)
• Free lunch when working onsite
• A dynamic, innovative, and supportive work environment where your contributions have a direct impact on the future of healthcare