Our client is a seed stage Gen AI start-up, backed by one of the largest tech firms in the world and YC Combinator. They are on the verge of launching their revolutionary AI product that empowers software engineering teams to enhance their productivity in large corporations. With an impressive portfolio of clients from large banks and tech firms, they are set to move to series A round in H1 2025. This is an exciting opportunity for a Machine Learning Engineer who enjoys both conceptual innovation and meticulous optimisation.
What you’ll do:
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 quality
Instruction tuning, preference alignment, and model optimisation
What you bring:
3+ years of practical Machine Learning experience
Ability to lead and execute ambitious machine learning projects from start to finish
Well-versed in Machine Learning, Deep Learning, and Large Language Models
Proficiency in related tooling (e.g., PyTorch)
Prior exposure to synthetic data is a plus
Strong skills in Python
Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker)
Company:
Robert Walters
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.