Senior NLP ML Scientist—GenAI & Production ML

JPMorgan Chase & Co.

New York (NY)

Presencial

USD 140 000 - 190 000

Tempo integral

14 dias+

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Resumo da oferta

JPMorgan Chase & Co. seeks a Senior Associate Machine Learning Scientist (NLP) to own end-to-end ML lifecycle from ideation to production. You will lead GenAI initiatives and partner with lines of business to drive transformative NLP solutions at a global bank.

The role emphasizes collaboration, rapid delivery, and a strong passion for ML in a large-scale financial institution with opportunities to present at industry events.

Qualificações

  • PhD in a quantitative discipline or MS with 2+ years in the field.
  • Knowledge of Generative AI and ML/DL methods and toolkits (TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
  • Ability to design experiments and evaluate intrinsic and extrinsic metrics for model performance based on business goals.
  • Strong analytical thinking and ability to work independently and in cross-functional teams.
  • Excellent written and spoken communication to convey technical results to technical and business audiences.

Responsabilidades

  • Research and develop state-of-the-art ML models for GenAI tasks.
  • Partner with business leaders to identify impactful ML methods.
  • Collaborate across Business, Technology, Product, Legal, and Compliance to deploy production solutions.
  • Lead large-scale ML frameworks to accelerate model deployment across the business.

Conhecimentos

GenAI knowledge
Experiment design
Communication
Independent work

Formação académica

PhD in quantitative discipline
MS with 2+ years experience

Ferramentas

TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas

Descrição da oferta de emprego

JPMorgan Chase & Co. seeks a Senior Associate Machine Learning Scientist (NLP) to own end-to-end ML lifecycle from ideation to production. You will lead GenAI initiatives and partner with lines of business to drive transformative NLP solutions at a global bank.

The role emphasizes collaboration, rapid delivery, and a strong passion for ML in a large-scale financial institution with opportunities to present at industry events.

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