Machine Learning Engineer-LLM-YC Combinator backed AI Startup

About the company:

Our client is a seed stage Gen AI startup backed by YC Combinator and the largest tech firm in the world. The business is moving to a series A round in H1 2025. Their AI product enables software engineering teams to increase their productivity in large companies. They have already had large banks and tech firm clients using their product, and 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 quality
• 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)

Contract Type:FULL_TIME

Specialism:Information Technology

Focus:Software 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

Come join our global team of creative thinkers, problem solvers, and game changers. We offer accelerated career progression, a dynamic culture, and expert training.

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