Senior AI Data Scientist — GenAI/NLP in Production (Remote)

Ladders

United States

À distance

USD 130 000 - 160 000

Plein temps

Il y a 8 heures
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Avantages offerts par ce poste

Mentorship culture
Curious, rigorous environment
Remote-friendly

Résumé du poste

Ladders is seeking an AI Data Scientist to advance intelligent capabilities across its platform through applied ML, NLP, and GenAI. Remote work with potential collaboration across teams and customers.

The role emphasizes turning open-ended challenges into scalable, production-ready solutions, improving model quality and supporting diverse customer use cases. Strong publication-to-production experience is valued.

Qualifications

  • Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related field; Ph.D. preferred.
  • 10+ years of experience in data science, machine learning, NLP, or AI with hands-on experience deploying NLP/GenAI solutions.
  • Proven track record of taking ML/NLP/GenAI solutions from experiments to production.
  • Translate open-ended research into practical outcomes.
  • Excellent communication skills as a senior contributor across technical teams.

Responsabilités

  • Research and evaluate emerging NLP, ML, DL, and GenAI techniques.
  • Investigate ambiguous problems, form hypotheses, run comparative experiments.
  • Design and build NLP, ML, DL, and transformer-based solutions.
  • Develop data pipelines and data-quality strategies for evolving use cases.
  • Develop and evaluate LLM/GenAI solutions and optimize models.
  • Design rigorous experiments and benchmarks to measure systems.
  • Take NLP/AI solutions from research to production deployment.

Connaissances

NLP
GenAI
Machine learning
Experiment design
Data pipelines

Formation

Master's degree in CS / Data Science / related field
Ph.D. preferred

Outils

Python
TensorFlow/PyTorch
Cloud platforms

Description du poste

Ladders is seeking an AI Data Scientist to advance intelligent capabilities across its platform through applied ML, NLP, and GenAI. Remote work with potential collaboration across teams and customers.

The role emphasizes turning open-ended challenges into scalable, production-ready solutions, improving model quality and supporting diverse customer use cases. Strong publication-to-production experience is valued.

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