AI Scientist

  • All available
  • All levels
  • 33 postings
  • 15.2% remote
  • About 3+ years exp.

Role snapshot

A quick overview of what this role tends to mean, drawn from the wording of the postings themselves.

What this role is about

Applied AI work centers on production models, not just research prototypes. Transformer and foundation model work is common, especially for agentic systems. Python and PyTorch dominate; R appears in analytics-heavy environments. NLP and LLMs show up in customer-facing and reasoning-focused roles.

  • Machine learning
  • Python
  • R
  • PyTorch
  • NLP

Key themes

  • Transformer and foundation model work is common, especially for agentic systems.

  • Python and PyTorch dominate; R appears in analytics-heavy environments.

Key responsibilities

The work that comes up most often

Based on 33 postings

Most common: Train and tune ML models, Design transformer architectures, and Evaluate model quality.

Original listing unavailable — snapshot available

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