
Pivotal Health · Santa Monica, CA, United States, US · 11 days ago
Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape.
Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools.
Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams.
Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey.
We’re hiring a Senior Applied AI / ML Engineer to build and improve high-impact AI systems that sit directly in important product and operational workflows.
This role reports to the Head of AI/ML Engineering and is designed for someone who wants to work on applied systems, not research in isolation. You’ll operate at the intersection of models, software, product workflows, and business outcomes. Depending on team needs and your strengths, you may work on areas like document generation, dynamic offer engines and other next generation decisioning systems.
We are looking for product-oriented applied engineers who can move quickly, own meaningful surfaces, and turn ambiguous opportunities into shipped systems with measurable value. Some candidates may come from a classic ML engineering path. Others may come from data science-heavy environments where experimentation, optimization, decisioning, or marketplace dynamics were central. We’re open to both, as long as you are excited to ship.
We also want someone who is AI-first in their own work. The right person will use AI actively in engineering, analysis, iteration, debugging, and experimentation, and will help the team build a strong AI-native way of working.
You do not need to match this stack perfectly, but you should be comfortable learning quickly and shipping in this kind of environment.
We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description.
If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you.
Ready to Make an Impact?
We’re building something meaningful; and we want you on the team.
Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together.
Candidates must be authorized to work in the United States without current or future employer sponsorship.
Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.
Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know.
Employment is contingent upon successful completion of applicable background checks, where permitted by law.
Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.
Headquarters
Santa Monica, CA, United States
Work Location
hybrid
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
full-time
Experience Level
senior-level
Application Method
Apply via Website
Salary
Not specified
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