Staff Machine Learning Engineer (Applied AI)

About Atropos Health

Atropos Health is the developer of GENEVA™ OS , the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with data-driven care, expediting research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant real-world evidence.

About the Role

This is the opportunity to bring your AI and  LLM expertise and knowledge to  improve efficiency of existing commercial products and innovate on new solutions. All products, solutions and technology you build will support the company’s mission to  close evidence gaps in healthcare.  

Join our team of award winning builders and innovators - CB Insights recently named Atropos Health to its ninth annual “AI 100” list:, showcasing the 100 most promising private artificial intelligence (AI) companies in the world - to make our products and services work for the benefit of patients and providers. 

Specifically, you will contribute to the continued success of  (1) Chat RWD®, the first generative AI application to deliver full observational studies on healthcare data in minutes. ChatRWD  delivers an LLM driven chat based user experience for real-world evidence (RWE) rapidly and (2) Alexandria™, a collection of tens of thousands of existing studies, including active clinical trial designs, that span clinical specialties, therapeutic areas, and cohorts. Alexandria allows users to search, browse, and re-run these existing  studies on their own data to generate additional RWE. 

Successful candidates will bring expertise and an ability to stay up-to-date on the rapidly evolving LLM space, especially in the realms of (a) healthcare and (b) generating evidence to support point of care/service and policy decision support (c) automating workflows with AI/LLMs.

Responsibilities

• Design and guide the architecture and participate in the implementation of scalable, AI-powered solutions to fit into or replace workflow.

• Collaborate with engineering, product, and leadership teams to define and deliver new features and enhancements.

• Establish best practices and architectural patterns for the application of LLMs in the process of generating clinical evidence from internal, structured data and unstructured sources.

• Set up and provide technical oversight for evaluation mechanisms to ensure solutions align with the system vision, scalability goals, and best practices.

• Interact with senior business leaders for all major capability enhancements (roadmap) and provide/own the proposed architectural solution. Participate in road mapping activities with all stakeholders

• Contribute to day-to-day technical deliverables

• Stay at the forefront by continuously exploring emerging technologies to keep our business competitive and innovative

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). A Master’s degree in Computer Science or related discipline is preferred.

• Expertise in AI/ML technologies, especially Large Language Models (LLMs), autonomous agents, and modern machine learning frameworks.

• Strong hands-on experience with Python, cloud platforms (AWS preferred), and distributed systems architecture.

• 10+ years of software/ML engineering experience

• 5+ years experience focused on AI/ML application development

• 2+ years of experience designing, implementing, and optimizing enterprise-scale applications, with a focus on workflow automation through AI.

• Proven experience as a software architect or senior developer, with a track record of leading complex technical initiatives.

• Deep knowledge of modern software engineering principles, architectural best practices, and emerging AI trends.

• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences.

• Experience in healthcare technology or regulated industries is preferred.

• Demonstrated ability to thrive in fast-paced, high-growth, and rapidly evolving environments.

• Strong analytical and problem-solving skills, with a high level of judgment and creativity in designing innovative solutions.

• Understanding of ethical AI principles, governance frameworks, and regulatory compliance (HIPAA, GDPR, SOC2).

• Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions.

• Willingness to travel periodically for team collaboration and company events.

Reporting

The Staff Machine Learning Engineer (AI) reports directly to the Head of Data Science, Jason Jones.

Location

We are a remote first company! You must be currently authorized to work in the United States on a full-time basis. We cannot support visa sponsorship at this time.

Our Core Values

• Bias to Action. We are driven by urgency and persistence, ensuring our actions contribute to the relentless pursuit of our mission.

• Intellectual Honesty. We are committed to the integrity of our work, seeking truth, and building transparent methodologies that go beyond industry norms.

• Compelled by Curiosity. We seek to solve the unknown, push boundaries, and do not accept the status quo.

• Impactful Innovation. We pioneer solutions that pursue equity and representation that have a transformative impact for our customers, users, and patients.

• Mindful Mentorship. We approach all interactions with an empathetic understanding, actively investing in the growth of each other and our customers.

Perks

•  Health Benefits. Our benefit package includes employer paid Medical, Dental, Vision,  Life, STD, and LTD insurance. We also offer FSA.

• Parental Leave. We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months.

• Financial Wellness. Save for retirement through our 401k plan with Human Interest.

• Flexible Work Environment. We're a remote first company with a flexible vacation policy.

• Home Office Stipend. All full-time employees will receive a stipend to support their remote office setup.

• Offsites. As a remote company we take time 2-3 times a year to get together in small teams and all together as a company.

At Atropos, we are committed to fostering a diverse, inclusive, and equitable workplace where every individual feels valued, respected, and empowered to contribute their unique perspectives and talents. We are an equal-opportunity employer that does not discriminate on the basis of race, religion, national origin, age, gender, gender identity or expression, sexual orientation, genetics, disability, pregnancy, veteran status, or any other legally protected status.

Atropos participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work.