Location: Remote or Hybrid

Type: Full-time

Ultramize powers performance marketing through proprietary technology used by 60+ companies across Europe. Our products—Audience™, Funnel™, and Journey™—optimize every layer of acquisition: from creative testing to landing page personalization and real-time behavioral analytics. We're now integrating advanced AI features across our stack to automate decisions, enhance UX, and scale personalization.

We’re hiring an AI Engineer to help turn our AI ambitions into productized features. You’ll work across teams to embed models directly into customer-facing tools, enabling predictive, generative, and optimization capabilities that drive measurable business outcomes.

• Design and implement ML/AI features directly into our core products
• Work with product and engineering to scope high-impact use cases (e.g. ad creative scoring, conversion prediction, funnel optimization)
• Prototype and productionize models using modern ML frameworks (e.g. PyTorch, TensorFlow, or JAX)
• Build scalable inference pipelines integrated with our cloud architecture
• Fine-tune or train LLMs for internal tools (e.g. copy generation, analytics summarization)
• Contribute to data engineering efforts: labeling, feature engineering, model monitoring
• Stay up to date with new capabilities (LLMs, embeddings, RLHF, etc.) and test them in production

• Strong foundation in ML/AI (regression, classification, ranking, NLP, etc.)
• Proficiency in Python and ML libraries (e.g. scikit-learn, PyTorch, Hugging Face)
• Experience integrating models into production systems (APIs, endpoints, pipelines)
• Understanding of cloud infrastructure and containerization (Docker, GCP/AWS)
• Comfort working with large volumes of marketing and behavioral data
• Bonus: experience with LLMs, embeddings, or building SaaS AI features at scale

• Build AI that actually ships—and drives measurable revenue impact
• Work on a modern stack with zero legacy and full product ownership
• Join a company that treats AI as infrastructure, not hype
• High-agency environment with fast decisions and real users

Send your resume and a short paragraph about an AI/ML feature you’ve built or shipped. GitHub or Colab links welcome.