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Salary: EUR 6,300 - 0 / monthly
FYUL (formed in 2024 through the merger of Printful, Printify, and Snow Commerce) is seeking a Staff Data Scientist to lead the technical direction and scaling of core AI capabilities across two interconnected domains: Search, Ranking & Recommendations, and Generative AI & Visual ML.
In this role, you will lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank (LTR) models across raw product and design recommendations. You'll advance personalization engines incorporating sequence embeddings of merchant history, niche trends, and sales performance signals. You'll connect downstream merchant sales and conversion data back into upstream design generation and candidate ranking models to continuously improve recommendation relevancy.
You'll oversee image generation pipelines combining LLMs and multimodal models with deep learning architectures (diffusion models, UNets, Vision Transformers) to generate high-converting designs for merchants. You'll deepen classical computer vision capabilities (OpenCV) alongside deep learning vision models (ResNet, CNNs, YOLO/segmentation networks) for delayering, automated background separation, print-area quality analysis, and asset validation.
As a product engineer with full technical autonomy, you'll act across the entire stack—from foundational model selection (fine-tuning, prompt engineering, self-hosting) to serving pipelines and frontend workflows. You'll rapidly prototype, iterate, and ship complete agentic pipelines and ML features using AI-assisted development.
You'll define and refine online/offline evaluation frameworks (NDCG, MRR, visual quality metrics, merchant conversion uplift) and oversee continuous A/B testing strategy. You'll guide strategic make-vs-buy decisions, API vs. self-hosted fine-tuning trade-offs, and inference optimization. You'll set standards for applied ML across the organization, mentor senior individual contributors, run design reviews, and foster a culture of shipping measurable business impact.
The company operates a global, inclusive team focused on powering on-demand commerce at scale, serving solo creators through entertainment giants with merch solutions backed by advanced technology, premium production, and global reach.
REQUIREMENTS:
- 8+ years of hands-on experience building, deploying, and scaling production ML systems with proven staff-level technical leadership
- Deep expertise in modern search, candidate generation, and recommendation architectures (Two-Tower models, ANN vector indexing, Transformer rerankers, learning-to-rank algorithms)
- Hands-on experience with classical CV (OpenCV) and modern deep vision architectures (CNNs, Vision Transformers, diffusion models, multimodal LLMs/CLIP) for image processing and generative workflows
- Proven ability to build closed-loop ML systems that feed downstream business outcomes (clicks, conversions, sales) back into upstream model training and generation logic
- Fluency in Python and the modern AI/ML stack, anchored in PyTorch for deep learning and vision models, alongside LLM orchestration and agentic frameworks (LangChain, LangGraph)
- Practical experience with production serving patterns (FastAPI, event-driven async processing), MLOps tools (CometML, Flyte), and cloud data warehouses (Snowflake)
- Comfort leveraging AI tools across the workflow—Gemini for ideation and research, Claude Code and Claude Cowork for rapid prototyping, system design, and production code development
- Proven track record of taking full technical ownership of end-to-end features, treating ML systems as products and making architectural decisions across the whole stack
NICE TO HAVE:
- Experience in e-commerce, two-sided marketplaces, or creator platforms
