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Senior Staff Generative AI Scientist - US Remote

  • Source: LinkedIn
  • ChatGPT Jobs
  • Remote
  • New York City
  • Full-Time
  • Senior

Job Description

Job Description Sr Staff AI Scientist - Generative AI

Location: New York, NY

  • Remote

Jobs

Job Summary Apply knowledge and experience to real-world problems to reduce healthcare costs and improve health quality and outcomes. Work with a vast amount of structured and unstructured data including claims, membership, physician demographics, and medical records.

Responsibilities

  • Deliver solutions that help clients identify payment integrity issues, reduce healthcare costs, or improve healthcare quality.
  • Work with stakeholders to assess potential value and risks of AI/ML use cases.
  • Develop exploratory data analysis to verify hypotheses for AI/ML use cases.
  • Document approach, thinking, and results for collaboration.
  • Prepare trained models and develop validation test sets for QA.
  • Deploy models into production and support monitoring.
  • Collaborate with data science teams and participate in knowledge sharing sessions.
  • Participate in design sessions to improve the machine learning platform.
  • Provide end-to-end value-based solutions including data pipelines and model creation.
  • Complete all responsibilities as outlined in performance reviews and special projects as assigned.

Qualifications

  • PhD or Graduate degree in a quantitative discipline (Computer Science/Engineering, Statistics, Operations Research) covering Advanced Statistics, Machine Learning, and AI.
  • Experience with NLP techniques including transformers, fine-tuning LLMs, measuring/benchmarking, and deploying LLMs using HuggingFace, Langchain, LLAMA/Mistral, OpenAI, vector databases.
  • 9+ years of hands-on data science/AI experience with tools including pandas, scikit-learn, keras, nltk, TensorFlow/PyTorch, GPU.
  • Good to have publication record in journals/conferences and/or history of innovation.
  • Experience building production-grade ML deployments on AWS, Azure, or GCP.
  • Experience with Apache Spark and large-scale distributed datasets.
  • Experience communicating technical concepts to non-technical and technical audiences is a plus.
  • Passion for collaboration, learn-it-all mindset, and driving value with AI.

Compensation & Benefits Discover more

Self-Help & Motivational

Programming

Work & Labor Issues

Base compensation: $185,000 to $210,000 per year. Specific offers determined by experience, education, skills, certifications, and other business needs. Eligible for discretionary bonus consideration.

Machine Learning & Artificial Intelligence

Benefits package: Medical, dental, vision, disability, life insurance, 401(k) savings plans, paid family leave, 9 paid holidays per year, 17-27 days of Paid Time Off (PTO) per year (depending on level and length of service).

Application Details

Applications assessed on a rolling basis. Application window closes on 8/15/2026 or may close immediately if a qualified candidate is selected. All interviews conducted virtually. Cotiviti is an equal employment opportunity employer.

Skills

  • hugging-face
  • LangChain
  • meta-llama
  • llama
  • Pandas
  • Scikit-learn
  • Keras
  • nltk
  • Tensorflow
  • PyTorch
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Spark
  • cotiviti
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