Applied AI Engineer

Where You'll Drive Impact

• Work with clinical, video, and clinical trial operational data to understand what's there, what's meaningful, and how to use it to drive a more efficient clinical trial system
• Build and ship ML models, LLM-powered systems, and agents - from prototype to production
• Stay close to the evolving AI and ML landscape and bring a point of view on how new capabilities apply to our data and problems
• Define the path from raw data to product and operationalization: what to model, how to evaluate it, and when it's ready to ship
• Partner with product and engineering to translate findings into shipped features
• Identify opportunities where our data creates unique predictive advantages
• Evaluate where we should build, where we should partner, and where existing approaches fall short
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, and what rigor looks like in practice
• Performs related duties as requested

What You Bring to the Team

• 5+ years of experience in applied AI/ML, software/ML engineering, or data science, with significant hands-on time building and shipping systems on real data
• Experience with healthcare data, clinical research, or life sciences
• Deep curiosity to understand data and connect it to the real world
• Strong statistical foundations and the judgment to know when a result is meaningful versus interesting
• Fluent in Python and SQL, comfortable across the data stack from exploratory analysis through production-ready code and pipelines
• Experience working across data science, product, and engineering - able to build what's needed, not just analyze what exists
• Experience building and shipping production systems - including LLM-powered features (prompting, evaluation, RAG/agent pipelines) - not just research code or notebooks
• Experience with complex, messy, real-world data and how to make it useful without pretending it's clean
• Knowledgeable about ML capabilities and frameworks, with the judgment to know when something is genuinely applicable versus hype
• Strong communication skills - able to convey findings clearly to technical and non-technical audiences and make a persuasive case for what to build next

Preferred Qualifications

• Experience working at growth-stage startups (strongly preferred)
• Experience with LLM application frameworks (e.g. RAG, agent orchestration, eval harnesses)
• Familiarity with clinical trial operations, disease classification, or patient identification problems
• Experience building or defining the roadmap for an AI function from early stages

How We Work

• Collaborative and low-ego team environment
• High ownership and accountability culture
• Fast-paced and highly iterative growth environment
• Open communication and continuous learning mindset
• Mission-driven organization focused on improving patient outcomes
• Comfortable navigating evolving business priorities and opportunities

Benefits That Support You

We believe great teams do their best work when they feel supported - professionally and personally.

• Hybrid work environment with in-office collaboration two days per week in either our NYC, Southlake or Boston office
• Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health
• Mental health and wellness support through Spring Health
• Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health
• Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years
• 401(k) program with a company match of up to 3% (up to $3,000 annually)
• Weekly in-office lunch benefit every Tuesday
• 100% company-paid short-term and long-term disability coverage
• Annual wellness and professional development stipend to support your health and growth
• And more!

New York pay range $170,000—$240,000 USD

• At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves.
• We are focused on building an equitable and inclusive culture, and by extension, hiring process.
• If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact.