We're looking for a Staff Data Scientist to lead the technical direction, scaling, and evolution of our core AI capabilities across two tightly connected domains: Search, Ranking & Recommendations: advancing our multi-stage retrieval and ranking systems (Two-Tower networks, Vector Search/ANN, LTR) to optimize catalog discovery for raw physical products and designs, with a particular focus on multimodal and sequence embeddings. You'll drive systems that generate rich features and embeddings for recommendation engines, as well as tools that help merchants with content creation, smart product delayering, and automated visual asset processing. You'll lead the modeling strategy and collaborate across our data science and machine learning engineering teams, advancing our production systems from early successes to enterprise-grade AI infrastructure.

Advance our personalization engines, incorporating sequence embeddings of merchant history, niche trends, and sales performance signals to surface the best products and designs. Connect downstream merchant sales and conversion data back into upstream design generation and candidate ranking models to continuously improve recommendation relevancy. Deepen our classical computer vision capabilities (OpenCV) alongside deep learning vision models (e.g., ResNet, CNNs, YOLO/segmentation networks) for delayering, automated background separation, print-area quality analysis, and asset validation.

Driving end-to-end product innovation (maker focus)Act as a product engineer with full technical autonomy across the stack - from foundational model selection (fine-tuning, prompt engineering, self-hosting)



to serving pipelines and frontend workflows. Technical leadership, governance & mentorshipDefine and refine online/offline evaluation frameworks (NDCG, MRR, visual quality metrics, merchant conversion uplift) and oversee our continuous A/B testing strategy. Set standards for applied ML across the organization, mentor senior ICs, run design reviews, and foster a culture of shipping measurable business impact.

Computer vision & generative AI expertise: 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. Closed-loop ML: a proven ability to build systems that feed downstream business outcomes (clicks, conversions, sales) back into upstream model training and generation logic.

Technical stack: fluency in Python and the modern AI/ML stack, anchored in PyTorch for deep learning and vision models, alongside LLM orchestration and agentic frameworks (e.g., Practical experience with production serving patterns (FastAPI, event-driven async processing), MLOps tools (CometML, Flyte),



and cloud data warehouses (Snowflake).You treat ML systems as products and are comfortable making architectural decisions across the whole stack, from model selection down to frontend API integration.

Deep Learning &

• Computer Vision: PyTorch, OpenCV, Hugging Face Transformers, DiffusersLLMs &

• Agentic Systems: Claude Code and Claude Cowork for software engineeringSearch &

• Retrieval: Vector databases (Qdrant / Pinecone / FAISS), Two-Tower ranking, SnowflakeWorkflows, MLOps &

• Experimentation: Flyte for workflow orchestration

• Amplitude for A/B testing and feature flagsWhat we offer: A global, inclusive team that's as supportive as it is ambitious and serious about getting things doneAn opportunity to work remotely or in a modern and welcoming office in RigaFlexible working hours (start your day as late as 11 AM)Private health insurance2 extra paid days off to focus on your mental or physical well-being1 extra paid day off to celebrate a Birthday or any other celebration of your choiceInternal and external learning opportunitiesAccess to mentorship, internal meetups, and hackathons, both on-site and onlineFree and healthy lunch if you work from the Rīga officeDesign and order your own merch using our platforms with an employee discountExciting team-building events and parties you'll never forget! FYUL is the engine that powers on-demand commerce at global scale. From solo creators to entertainment giants, FYUL powers merch that connects with millions, backed by advanced tech, premium production, and global reach. We're a fast-growing general company working toward powering great brands, great experiences, and great people.

📌 Staff Data Scientist (Madrid)
🏢 AlleyCorp
📍 Madrid