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Netic

Applied AI Research Engineer

Netic
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11 months ago
San Francisco, CA, USAMid Level / Senior

Responsibilities

  • Track frontier work in ML, LLMs, and multimodal models to generate actionable ideas.
  • Collaborate with GTM and ops teams to identify high-ROI ML projects.
  • Own the full cycle of model development from data curation to deployment.
  • Integrate models into real-time platforms via APIs and streaming pipelines.
  • Set technical roadmaps and iterate based on real-world results.

Requirements

  • 4+ years of experience with advanced ML techniques.
  • Proficiency in PyTorch or JAX and modern serving frameworks.
  • Demonstrated ability to translate research into revenue-generating products.
  • Experience with ETL, feature stores, and cloud-native infrastructure.
  • Strong data engineering skills with complex data streams.
  • Ability to understand customer workflows and translate needs into solutions.

Tech Stack

PyTorch

Categories

AI & MLData EngineeringFull Stack