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Machinify

AI-driven healthcare operations optimization platform

Staff Data Scientist - Natural Language Processing

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 3+ years of applied machine learning experience with a meaningful portion in natural language processing

Responsibilities

  • Design and train NLP models for tasks like classification, entity extraction, retrieval, summarization, and semantic search
  • Fine-tune and evaluate large language models (open-source and API-based); build retrieval augmented generation pipelines and agentic workflows where appropriate
  • Build robust evaluation harnesses — offline metrics, human-in-the-loop review, and online A/B tests
  • Partner with machine learning engineers to productionize models (latency, cost, monitoring, drift detection)
  • Turn ambiguous product questions into well-scoped machine learning problems and communicate tradeoffs clearly to non-technical stakeholders

Desired Qualifications

  • Publications at ACL/EMNLP/NAACL/NeurIPS or strong open-source contributions
  • Experience with multilingual natural language processing, speech, or multimodal models
  • Background shipping large language model features in a regulated domain (healthcare, finance, legal)

About the Company

Machinify

AI-driven healthcare operations optimization platform

Machinify uses artificial intelligence to optimize decision-making in healthcare. It provides AI-driven applications that improve operational efficiency for health plans, payers, and providers, acting as a central nervous system to manage data-driven decisions. Its products streamline processes like claims processing and utilization management by deploying a growing portfolio of applications on the Machinify platform, designed for fast implementation and immediate ROI. Differences from competitors include an AI-first platform tailored to healthcare administration, a rapid deployment model, and a customer-focused approach that aims to deliver tangible results quickly. The company’s goal is to transform healthcare administration by reclaiming control over healthcare expenditures and improving efficiency and patient outcomes through data-driven decisions.

Company size
1,001-5,000
Company stage
Series A
Total funding
$15.6M
Headquarters
Palo Alto, CA
Founded
2016

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