Machine Learning Software Engineer

About Plenful

Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Notable Capital, Bessemer Venture Partners, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category-defining AI workflow automation platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in-need patient populations.

Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today’s care teams. We’re passionate about equipping healthcare workers with world-class tools that deliver real, measurable impact, and we’re proud to serve 60+ leading health systems across the country. If you’re excited to help shape the future of healthcare, we’d love to meet you. Apply now to join our growing team.

Join our growing team!

About the role
Plenful is seeking a Machine Learning Engineer with 3+ years of professional experience to develop and deploy ML models that drive positive patient outcomes in the healthcare industry. You’ll join a highly collaborative team and work cross-functionally with software engineers, and product teams to build scalable, production-ready AI use cases.

What we’re looking for

• Strong Python skills, including ML libraries (PyTorch, Transformers, etc.)
• Experience working with large-scale datasets and databases
• Experience developing, fine-tuning, and deploying LLMs (e.g., using LoRA, PEFT)
• Experience with traditional ML models (e.g., tree-based models, regression, clustering)
• Skilled in building ML/data pipelines and model evaluation workflows
• Comfortable with MLOps tools: Docker, Kubernetes, MLflow, CI/CD
• Experience deploying models in cloud environments (AWS preferred)
• Knowledge of Big Data tech (Snowflake, Hadoop, Delta Lake)
• Familiar with prompt engineering, embeddings, RAG pipelines
• Prior startup or healthcare tech experience is a plus
• Bachelor's in Computer Science or related field

Plenful perks

• Great benefits include unlimited PTO, health insurance, meal stipend, health & wellness stipend, team offsites, 401K matching, and stock options
• Join an all-star team with direct access to executive leadership
• Opportunities to further develop and refine your partnership acumen by partnering with our seasoned leaders