AI & ML Researchers at Modernizing Medicine in Boca Raton, FL

Join the Team Modernizing Medicine

At ModMed, we’re not just building software—we’re reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed, you’re joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

• Consistently ranked as a Top Place to Work
• 2025 Globee Business Awards: Gold Globee for “Technology Team of the Year”
• 2025 Black Book Awards: Ranked #1 EHR in 11 Specialties
• Florida Venture Forum: Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:

We are seeking AI/ML Researchers to drive innovation in large language models (LLMs), AI agents, and advanced machine learning systems. This role is ideal for hands-on researchers with a strong academic background, demonstrated publications, and practical experience translating cutting-edge AI techniques into real-world applications. You will work at the intersection of research and product, collaborating with cross-functional teams to design, develop, and deploy next-generation AI solutions that create measurable business impact.

Key Responsibilities:

• Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities.
• Design and implement new algorithms and architectures for LLM fine-tuning, adaptation, and multi-agent collaboration.
• Translate business problems into research-driven AI solutions, working closely with stakeholders to identify opportunities for innovation.
• Build and evaluate models using techniques such as deep learning, natural language processing, generative modeling, reinforcement learning, and multi-modal learning.
• Own the end-to-end lifecycle of research-driven ML projects, from exploration and prototyping to production deployment and monitoring.
• Publish findings in top-tier conferences and journals, contributing to the broader AI research community.
• Collaborate with product managers, data engineers, and software engineers to bring research ideas into scalable, production-grade systems.
• Partner with data engineering teams to ensure robust pipelines and infrastructure for training, experimentation, and deployment.
• For senior/lead level, mentor junior researchers and data scientists, fostering a culture of innovation and scientific rigor.

Qualifications:

• PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field.
• Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals.
• Experience in machine learning or AI research, with applied experience in LLMs, generative AI, or AI agents.
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).
• Expertise in at least one of the following areas:
  • Large Language Models (pretraining, fine-tuning, prompt engineering, retrieval-augmented generation)
  • Autonomous AI Agents and multi-agent systems
  • Generative AI (text, vision, speech, or multimodal)
  • Reinforcement learning and decision-making systems
• Familiarity with distributed data systems, high-performance computing, and GPU/TPU-based model training.
• Strong communication skills, with the ability to present research findings to both technical and non-technical stakeholders.

ModMed Benefits Highlight: At ModMed, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
• 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
• Generous Paid Time Off and Paid Parental Leave programs,
• Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
• Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
• Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
• Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders’ email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.