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Innovaccer

Healthcare data analytics platform.

Artificial Intelligence Researcher

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Master of Science or PhD in Computer Science, Machine Learning, or a related quantitative field; exceptional Bachelor of Science candidates with substantial research or open-source work will be considered.
  • Depth beyond coursework demonstrated through first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source machine learning contributions; a research internship at an AI lab; or models personally trained and shipped for real users.
  • Hands-on experience fine-tuning an open-weight model, understanding parameter-efficient versus full fine-tuning, and explaining the choice between them.
  • Strong Python and PyTorch skills, with familiarity with current training and serving tools such as Hugging Face, FSDP or DeepSpeed, and vLLM or SGLang, or equivalents.
  • Some exposure to multi-GPU training, including understanding sharding strategies and why they matter.
  • Evidence of being able to complete work.

Responsibilities

  • Design, develop, and deploy AI-powered applications, including large language model-based solutions, AI agents, retrieval-augmented generation, and intelligent automation workflows.
  • Take ideas from research papers through prototype development to production.
  • Build the model layer of a product by choosing model sizes, combining models into systems, and maintaining product-level accuracy.
  • Write code using Python and PyTorch and diagnose factors affecting training speed.
  • Design experiments by stating hypotheses, running ablations, and reporting results, including results that contradict the hypothesis.
  • Measure model performance, scrutinize results, and build evaluations before building models.
  • Read current research and assess whether techniques are likely to be robust.
  • Explain work to non-AI engineers, including clinicians and operators, and incorporate their feedback.

About the Company

Innovaccer

Healthcare data analytics platform.

Innovaccer provides a Health Cloud platform that connects, curates, and analyzes healthcare data to improve patient outcomes and reduce costs. The platform lets healthcare providers manage transitional care, lower 30-day readmissions, and expand primary care services, while giving pharmaceutical companies like Roche contextualized patient insights to lower development costs and risk. Revenue comes from clients paying for platform use. Unlike others, Innovaccer demonstrates value through measurable results (e.g., a CHESS $3 million value and a 23% reduction in 30-day readmissions) and earns high scores in independent analytics rankings (e.g., 94.9/100 in KLAS Data & Analytics Platforms with “A” across all six Customer Experience Pillars). The company's goal is to turn healthcare data into practical, scalable insights that improve clinical and financial outcomes for providers, life sciences partners, and patients.

Company size
1,001-5,000
Company stage
Private
Total funding
$653.1M
Headquarters
San Francisco, CA
Founded
2012

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