AI Engineer (Vision)

Role Overview

You'll train and fine-tune vision-language models, extend them to video, build alignment pipelines, develop evaluation benchmarks, and optimize inference for production.

What You Will Do

Train vision-language models from scratch and fine-tune existing architectures, extend VLM capabilities to video, design evaluation benchmarks, curate and maintain multimodal datasets, train and optimize MoE architectures, and deploy models to production.

Why It Might Be a Fit

You'll fit right in if you have 3+ years of experience training and fine-tuning vision-language models, deep experience with multimodal architectures, hands-on experience with RLHF/alignment for multimodal, and a track record shipping VLMs to production.

Requirements

• 3+ years training and fine-tuning vision-language models
• Deep experience with multimodal architectures
• Hands-on experience with RLHF/alignment for multimodal
• Experience with video understanding
• Track record shipping VLMs to production
• Comfortable with large-scale dataset curation
• Familiar with MoE architectures and their tradeoffs for multimodal workloads
• Strong PyTorch skills, experience with distributed training

Benefits

• Salary of $100,000 to $250,000
• Equity
• Paid time off in line with local regulations
• Relocation package
• Best medical insurance in France
• All the hardware, tools, and services needed
• Covered subscriptions for AI agents and IDEs
• Team off-sites twice a year