AI Engineer Vision

About us

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn't do. We automatically test, enforce, and continuously improve these policies at scale.

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others We process over one hundred million API calls every month We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We're a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built - you're the one we need.

You will:

• Train vision-language models from scratch and fine-tune existing architectures for image understanding
• Extend VLM capabilities to video: design temporal modeling approaches, handle long-context efficiently
• Design evaluation benchmarks that matter: visual QA, spatial reasoning, video comprehension
• Curate and maintain multimodal datasets - including synthetic data generation pipelines
• Train and optimize MoE architectures for efficient multimodal inference
• Deploy models to production: quantization, batching strategies, latency optimization

You'll fit right in if you:

• 3+ years training and fine-tuning vision-language models (LLaVA, Qwen-VL, InternVL, or similar)
• Deep experience with multimodal architectures - you understand how vision encoders, projectors, and LLMs fit together
• Hands‑on with RLHF/alignment for multimodal: GRPO, DPO, reward modeling - not just for text
• Experience with video understanding: temporal modeling, long-context processing, efficient attention mechanisms
• Track record shipping VLMs to production: you've optimized inference, not just reported benchmark scores
• Comfortable with large‑scale dataset curation: image-text pairs, video-instruction data, synthetic data generation
• Familiar with MoE architectures and their tradeoffs for multimodal workloads
• Strong PyTorch skills, experience with distributed training (DeepSpeed, FSDP)

Why White Circle

• Salary of $100,000 to $250,000 + equity
• 20 days of paid vacation
• Work from Paris (hybrid) + relocation package
• Best medical insurance in France
• All the hardware, tools, and services you need
• Covered subscriptions for AI agents and IDEs
• Team off‑sites twice a year: we've recently been to the Alps and to Saint‑Tropez

How we hire

• Intro call with one of our colleagues
• Сomplete the take-home assignment
• Show your best during the technical interview
• Final call with our CEO and CTO

Please submit your application in English - it's our company language so you'll be speaking lots of it if you join