TL;DR

Research Engineer - Post Training (AI): Responsible for translating business needs into quality standards and delivering high-quality models based on the company's architecture. Focus on understanding the Product's needs and delivering high-quality models based on our architecture.

Location: Hybrid (Paris, France)

Company

%hirify_global% is a real-time AI startup that aims to revolutionize how AI is used in digital experiences.

What you will do

Translate business needs into quality standards, selecting among existing benchmarks and developing custom ones.
Design, implement, and validate the post-training recipe.
Highlight the capabilities and limitations of our custom architecture from a Research and Product perspective.
Help prioritize the next research topics, contributing to the continuous improvement of our models and product.

Requirements

2+ years of experience in fine-tuning LLMs to product needs.
Experience in visualizing and understanding data.
Strong communication skills and ability to convert real-world use cases into clear benchmark ideas and implementations.
Technical coding skills in Python, Pytorch, and one fine-tuning framework such as MLflow.

Nice to have

Deep understanding of compression and fine-tuning algorithms.
Experience working in an HPC environment (SLURM).

Culture & Benefits

Competitive salary and equities (BSPCE).
Elite technical challenges within a world-class team of engineers.
Creative environment to push back the limits.
Provided equipment to perform the role.
WeWork offices in the 13th district of Paris (near Station F).
Afterworks during our Paris week.