Job Specifications
We are united in our mission to make a positive impact on healthcare. Join Us!
South Florida Business Journal, Best Places to Work 2024
Inc. 5000 Fastest-Growing Private Companies in America 2024
2024 Black Book Awards, ranked #1 EHR in 11 Specialties
2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold)
2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara)
Who We Are
We Are Modernizing Medicine (WAMM)! We’re a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany.
We Are Modernizing Medicine (WAMM)! We’re a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US.
As we continue to scale and drive innovation, we are seeking dynamic and experienced AI/ML Researchers at various levels to join our team.
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 nee