Engineering Member – Post-training

Posted 20hrs ago

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Job Description

Join the Applied Research team to develop AI systems from pre-trained LLMs. Work remotely across EMEA/East Coast in cutting-edge AI applications.

Responsibilities:

  • Research and experiment on ways to specialize foundational models to agentic use cases
  • Build and maintain data and training pipelines
  • Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
  • Design, analyze, and iterate on training/fine-tuning/data generation experiments
  • Write high-quality, pragmatic code
  • Work as part of a team: plan future steps, discuss, and communicate clearly with your peers

Requirements:

  • Experience with Large Language Models (LLM)
  • Deep knowledge of Transformers
  • Strong deep learning fundamentals
  • Good taste in data
  • Post-training experience with LLMs
  • Extensively used and probed LLMs, familiarity of their capabilities and limitations
  • Knowledge of distributed training
  • Strong machine learning and engineering background
  • Research experience
  • Experience in proposing and evaluating novel research ideas
  • Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLVR, code generation
  • Is comfortable in a rapidly iterating environment
  • Is reasonably opinionated
  • Programming experience
  • Linux
  • Strong algorithmic skills
  • Python with PyTorch or Jax
  • Use modern tools, including latest code agents and are always looking to improve
  • Strong critical thinking and ability to question code quality policies when applicable
  • Prior experience in non-ML programming, especially not in Python - is a nice to have

Benefits:

  • Fully remote work & flexible hours
  • 37 days/year of vacation & holidays
  • Health insurance allowance for you and dependents
  • Company-provided equipment
  • Wellbeing, always-be-learning and home office allowances
  • Frequent team get togethers
  • Great diverse & inclusive people-first culture