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AI Research Engineer

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full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $200,000 - $375,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonPyTorch

About the role

  • Design and implement post-training systems and methodologies in close partnership with research scientists and domain experts
  • Build and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluation
  • Develop robust frameworks for verifying the quality and integrity of highly specialized domain datasets
  • Create next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessment
  • Optimize performance across software and hardware layers to accelerate post-training experimentation and deployment
  • Collaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliability

Requirements

  • Strong Python programming skills with attention to clean, efficient, and scalable code
  • Experience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluation
  • Deep familiarity with PyTorch and modern post-training techniques (RLHF, constitutional AI, etc.)
  • Background in applied machine learning, model evaluation, or large-scale data quality assessment
  • Experience with benchmark design, evaluation methodologies, and performance measurement frameworks
  • Clear communication skills and a collaborative mindset for cross-functional research teams
  • Extra credit: Experience optimizing deep learning models for performance (memory, training speed)
  • Extra credit: Interest in the societal and ethical impacts of AI technologies
  • Extra credit: Contributions to open-source ML infrastructure or tools