Senior ML Scientist NLP, Speech & Recs in Production

JPMorgan Chase & Co.

New York (NY)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

JPMorgan Chase in New York seeks a senior ML researcher to apply advanced methods across NLP, speech analytics, time series and recommendations. You will work in a highly collaborative setting with business and technologists to deploy solutions into production.

The role requires a PhD/MS in a quantitative field with multiple years of experience, strong DL/NLP background, and proven ability to design experiments and communicate results effectively.

Qualifications

  • PhD/MS in a quantitative field with industry or research experience.
  • Solid background in NLP or speech analytics and ML/DL methods.
  • Experience with ML toolkits such as TensorFlow or PyTorch.
  • Ability to design experiments and evaluate metrics aligned with business goals.
  • Strong written and spoken communication; collaborative mindset.

Responsibilities

  • Research and explore new ML methods through independent study, experiments and conferences.
  • Develop state-of-the-art models for NLP, speech analytics, analytics, time-series or recommender systems.
  • Collaborate with Business, Technology, PM, Legal, Compliance, Strategy to deploy production solutions.
  • Drive firm-wide initiatives by building scalable ML frameworks across the business.

Skills

NLP
Speech recognition
Deep learning
Machine learning
Big data

Education

PhD in a quantitative discipline with 5+ years field experience
MS in a quantitative discipline with 3+ years field experience
MS in a quantitative discipline

Tools

TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas

Job description

JPMorgan Chase in New York seeks a senior ML researcher to apply advanced methods across NLP, speech analytics, time series and recommendations. You will work in a highly collaborative setting with business and technologists to deploy solutions into production.

The role requires a PhD/MS in a quantitative field with multiple years of experience, strong DL/NLP background, and proven ability to design experiments and communicate results effectively.

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