Member of Engineering (Post-training)

New
P
PoolsideArtificial General Intelligence
Remote (EMEA/East Coast)Full-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonMachine LearningPyTorchLinuxDeep Learning

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
  • Comfortable in a rapidly iterating environment
  • Reasonably opinionated
  • Programming experience
  • Linux
  • Strong algorithmic skills
  • Python with PyTorch or Jax
  • Use modern tools, including latest code agents
  • Strong critical thinking and ability to question code quality policies when applicable

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
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