Staff Data Scientist ( Remote in Europe)

Fyul; España; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Private health insurance

Flexible hours

Extra paid days off

Mentorship & learning opportunities

Remote work option (Spain)

Job summary

Fyul is seeking a Staff Data Scientist to lead the technical direction of AI capabilities across retrieval, ranking, generative AI, and visual ML domains. You will scale and evolve production ML systems, guide architecture, and mentor teams toward enterprise-grade AI infrastructure.

You will own end-to-end ML pipelines, collaborate with data science and ML engineering teams, and drive product-grade features using tools like LangChain, Gemini, Claude for rapid prototyping and robust deployment.

Qualifications

• 8+ years of hands-on experience building, deploying, and scaling production ML systems

Responsibilities

• Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank models across raw product and design recommendations
• Advance personalization engines with sequence embeddings of merchant history, niche trends, and sales signals
• Connect downstream merchant data back into upstream design generation and ranking models
• Oversee image generation pipelines combining multimodal models to generate high-converting designs
• Deepen classical CV and deep vision capabilities for image processing and asset validation
• Act as a product engineer with autonomy across the stack from model selection to frontend APIs
• Prototype, iterate, and ship end-to-end agentic pipelines and ML features using AI-assisted development tools

Skills

Python

PyTorch

LLM orchestration

Two-Tower models

Vector search / ANN

Learning-to-rank

Product ML systems

Mentorship

Tools

OpenCV

Hugging Face Transformers

Diffusers

LangChain

LangGraph

FastAPI

Flyte

CometML

Qdrant

Pinecone

FAISS

Snowflake

Job description

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.
• Generative AI & Visual ML: scaling our image intelligence pipeline by combining multimodal generative models with classical and deep computer vision. 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.

Your daily tasks will include:

Leading & scaling recommendation and search systems

• Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank (LTR) models across raw product and design recommendations.
• 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.
• Oversee image generation pipelines that combine LLMs/multimodal models with deep learning architectures (e.g., diffusion models, UNets, Vision Transformers) to generate high-converting designs for merchants.
• 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.
• Rapidly prototype, iterate, and ship complete agentic pipelines and ML features using AI-assisted development (Gemini for ideation and research; Claude Code and Claude Cowork for rapid implementation).

Technical leadership, governance & mentorship

• Define and refine online/offline evaluation frameworks (NDCG, MRR, visual quality metrics, merchant conversion uplift) and oversee our continuous A/B testing strategy.
• Guide strategic make-vs-buy decisions, API vs. self-hosted fine-tuning trade-offs (e.g., open vision models, LLMs/multimodal models), and inference optimization.
• Set standards for applied ML across the organization, mentor senior ICs, run design reviews, and foster a culture of shipping measurable business impact.
• Experience: 8+ years of hands‑on experience building, deploying, and scaling production ML systems, with a proven track record of staff-level technical leadership.
• Search & RecSys expertise: deep expertise in modern search, candidate generation, and recommendation architectures (Two-Tower models, ANN vector indexing, Transformer rerankers, learning-to-rank algorithms).
• 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., LangChain, LangGraph). Practical experience with production serving patterns (FastAPI, event‑driven async processing), MLOps tools (CometML, Flyte), and cloud data warehouses (Snowflake).
• AI‑assisted workflow: comfort leveraging AI tools across the workflow — Gemini for ideation and research, alongside Claude Code and Claude Cowork for rapid prototyping, system design, and production code development.
• Product maker mindset: a proven track record of taking full technical ownership of end-to-end features. You treat ML systems as products and are comfortable making architectural decisions across the whole stack, from model selection down to frontend API integration.

Nice to have: experience in e‑commerce, two‑sided marketplaces, or creator platforms.

Our Stack & Tooling:

• Deep Learning & Computer Vision: PyTorch, OpenCV, Hugging Face Transformers, Diffusers
• LLMs & Agentic Systems: LangChain, LangGraph; hosted APIs (Gemini, OpenAI) and open multimodal models (FLUX, Qwen); Claude Code and Claude Cowork for software engineering
• Search & Retrieval: Vector databases (Qdrant / Pinecone / FAISS), Two-Tower ranking, Snowflake
• Workflows, MLOps & Experimentation: Flyte for workflow orchestration; CometML for experiment tracking, model registry, and CI/CD artifact management; Amplitude for A/B testing and feature flags

What we offer:

• A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done
• An opportunity to work remotely or in a modern and welcoming office in Riga
• Flexible working hours (start your day as late as 11 AM)
• Private health insurance
• 2 extra paid days off to focus on your mental or physical well‑being
• 1 extra paid day off to celebrate a Birthday or any other celebration of your choice
• Internal and external learning opportunities
• Access to mentorship, internal meetups, and hackathons, both on‑site and online
• Free and healthy lunch if you work from the Rīga office
• Design and order your own merch using our platforms with an employee discount
• Exciting team‑building events and parties you’ll never forget!

FYUL is the engine that powers on-demand commerce at global scale.

Formed in 2024 through the merger of Printful, Printify, and Snow Commerce, we bring together tech, talent, and infrastructure to help people turn ideas into beautiful products.

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 global company working toward powering great brands, great experiences, and great people.

We are an equal‑opportunity workplace. We’re committed to diversity and inclusion and make hiring decisions based solely on qualifications, merit, and work experience.