Staff Machine Learning Engineer (LLM/RAG)


  Machine Learning


Our client are a cutting-edge fintech firm and they are hiring a Staff Machine Learning Engineer to join their  team on a  remote basis. The successful candidate will utilize their proficiency in Large Language Models  to transform investment intelligence via their AI-driven wealth management platform.


  • As the Staff Machine Learning Engineer, you will design and refine open source and proprietary LLMs for diverse tasks.

  • You will be responsible for constructing sophisticated Retrieval Augmented Generation (RAG) pipelines.

  • Establish thorough evaluation frameworks to assess model performance.

  • Roll out models into production environments, prioritizing reliability and scalability.

  • Work closely with product and engineering teams to provide holistic solutions.


  • Ph.D./Masters/Bachelor’s degree in computer science, mathematics or equivalent. 

  • Hands-on experience in NLP/LLM with up-to-date knowledge of current research.

  • Strong skills in LLM fine-tuning methodologies, inference frameworks and advanced RAG pipelines.

  • Proficient in machine learning/deep learning frameworks such as TensorFlow or PyTorch.

  • Fluent in both Python and SQL, showcasing robust analytical and problem-solving capabilities.

Salary: $225k – $240k 

Interested? Apply now in the link below or email your resume to for consideration.