4 months ago
Responsibilities
- Train, improve, and deploy NLP and generative AI models for Suki’s healthcare platform.
- Enhance computational infrastructure, technical approaches, algorithms, and distributed ML services.
- Manage and curate large datasets to ensure data quality and relevance for training and evaluation.
- Monitor and analyze system performance metrics, identify optimization opportunities, and implement improvements.
- Design and implement evaluation frameworks for LLM-based systems, including automated evaluations, human feedback loops, regression testing, and benchmarks.
- Collaborate with cross-functional teams to solve NLP challenges and scale the platform for thousands of doctors.
- Track advances in NLP and generative AI and incorporate relevant innovations into production systems.
Requirements
- At least five years of overall machine learning experience, including at least three years focused on NLP and contextual embeddings.
- A proven end-to-end workflow with at least one NLP model moved into an enterprise production system.
- Expertise understanding, applying, and deploying state-of-the-art deep neural network models.
- Experience building and maintaining distributed backend services for ML and AI applications.
- Strong computer science fundamentals in abstractions, algorithms, probability, data structures, and system design are preferred.
- Strong working knowledge of LLMs, including prompting, orchestration, retrieval-augmented generation, context management, and cost management.
- Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evaluations, human feedback loops, regression testing, and benchmark design.
- Clear communication and demonstrated ability to build consensus in cross-functional teams.
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About Suki
Suki delivers ambient clinical intelligence that powers documentation, revenue cycle, and clinical reasoning. By reducing administrative burden, improving coding accuracy, and surfacing critical insights at the point of care, Suki helps clinicians focus on what matters most: their patients. Named one of TIME’s Top HealthTech Companies of 2025, Suki is trusted by 400+ health systems, integrates deeply with all major EHRs, and delivers measurable impact – from reducing burnout to driving revenue gains.