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Machine Learning Engineer-LLM-YC Combinator backed AI Startup

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About the company: Our client is a seed stage Gen AI start up that is backed by YC Combinator and the largest tech firm in the world. The business is moving to series A round in H1 2025. Their AI product enables software engineering teams to increase their productivity in large companies. They already had large banks/Tech firm clients using their product, they are launching their product publicly in March 2025.

About this job:

Ideal candidates have a solid technical foundation combined with broad, general knowledge. They should be comfortable working with the rapidly evolving LLM ecosystem and have practical, hands-on experience in applied machine learning. The right person will enjoy both conceptual innovation and meticulous optimization, whether that’s crafting a clever solution, refining a baseline model, designing thorough evaluations, exploring new datasets, or running controlled scientific experiments.


Job Responsibilities:

  • Create a wide range of synthetic datasets
  • Train models and conduct experiments to assess synthetic data quality
  • Use generated synthetic data to train state-of-the-art models
  • Drive additional data-focused research initiatives aimed at improving data qualit
  • Instruction tuning, preference alignment, and model optimization;

Job Requirements:

  • Have 3+ years of practical Machine Learning experience
  • ⁠Can lead and execute ambitious machine learning projects from start to finish
    Are well-versed in Machine Learning, Deep Learning, and Large Language Models, as well as related tooling
  • ⁠Prior exposure to synthetic data is a plus
  • ⁠Have strong skills in Python
  • ⁠Experienced in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker)

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Contract Type: FULL_TIME

Specialism: Information Technology

Focus: Software Engineering

Industry: Engineering

Salary: £100,000 - £150,000 per annum + 1 year salary equity

Workplace Type: Hybrid

Experience Level: Mid Management

Location: London

Job Reference: R2CCX1-AA04A928

Date posted: 15 January 2025

Consultant: Karen Cordner

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