Join a team that designs, trains, and implements generative models for images, video, text, and multimodal data — from research to production.

Responsibilities: 🔹 Development and fine-tuning of generative models (images, video, text, multimodal) 🔹 Improving the visual quality of generation: prompt adherence, character consistency, video stability 🔹 Researching LLM control methods: instruction tuning, constrained decoding, tool use, guardrails 🔹 Building LLM evaluation systems: accuracy, safety, resistance to prompt injection 🔹 Optimizing training and inference pipelines for latency, throughput, and cost 🔹 MLOps: automating model testing, deployment, monitoring, and retraining 🔹 Integrating models into production with engineers

Requirements: ▪️ 3+ years of experience in ML and software development ▪️ Practical experience with generative models ▪️ Understanding of diffusion models and architectures for images/video ▪️ Experience with LLMs: prompting, fine-tuning, structured outputs, tool calling ▪️ PyTorch or TensorFlow ▪️ Experience bringing models from prototype to production, deploying on GPUs and in the cloud ▪️ Strong Python: testing, monitoring, performance optimization

What we offer: ✨ Dynamic AI Tech environment ✨ Competitive salary ✨ 25 days of vacation + additional days off ✨ Remote work format ✨ Annual corporate retreats ✨ Career growth in a startup environment

😎 If the description matches your experience, send your CV in DM