LLM Researcher for Production-Ready Trading Models

Thurn Partners

Miami (FL)

In loco

USD 180.000 - 240.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

A quantitative trading firm is seeking a Machine Learning Researcher to join their systematic equities research team. You will design and implement training and evaluation pipelines for large language models while exploring alignment and reinforcement learning techniques. The ideal candidate has a strong background in machine learning and programming, though prior finance experience is not required. This role emphasizes both research quality and real-world performance, providing a unique opportunity in a research-driven environment.

Competenze

  • Strong background in machine learning, optimization or reinforcement learning.
  • Deep understanding of transformer architectures and attention mechanisms.
  • Experience working with post training techniques such as SFT, DPO or RLHF.
  • Comfort working with large datasets and complex experimental pipelines.

Mansioni

  • Design and implement large scale training and evaluation pipelines for language models.
  • Explore alignment methods such as RLHF and DPO.
  • Improve model reasoning and accuracy in noisy datasets.
  • Optimize models for GPU efficiency and precision.

Conoscenze

Machine learning
Optimization
Reinforcement learning
Python programming
Deep learning frameworks (PyTorch, TensorFlow)
Analytical thinking

Descrizione del lavoro

A quantitative trading firm is seeking a Machine Learning Researcher to join their systematic equities research team. You will design and implement training and evaluation pipelines for large language models while exploring alignment and reinforcement learning techniques. The ideal candidate has a strong background in machine learning and programming, though prior finance experience is not required. This role emphasizes both research quality and real-world performance, providing a unique opportunity in a research-driven environment.
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