Staff Data Scientist – Remote in Europe
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Job Description
Staff Data Scientist scaling search, recommendations, and visual ML for FYUL, which powers on-demand commerce and custom products globally. Leading production AI infrastructure, image intelligence, and merchant-focused product innovation.
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 using sequence embeddings of merchant history, niche trends, and sales performance signals
- Connect downstream merchant sales and conversion data to upstream design generation and candidate ranking models
- Oversee image generation pipelines combining LLMs/multimodal models with deep learning architectures such as diffusion models, UNets, and Vision Transformers
- Develop classical computer vision and deep learning capabilities for delayering, automated background separation, print-area quality analysis, and asset validation
- Act as a product engineer with full technical autonomy across model selection, fine-tuning, prompt engineering, self-hosting, serving pipelines, and frontend workflows
- Rapidly prototype, iterate, and ship complete agentic pipelines and ML features using AI-assisted development
- Define and refine online/offline evaluation frameworks and oversee continuous A/B testing
- Guide make-vs-buy and API-versus-self-hosted fine-tuning decisions and optimize inference
- Set applied ML standards, mentor senior individual contributors, run design reviews, and foster measurable business impact
- Collaborate across data science and machine learning engineering teams to advance production systems into enterprise-grade AI infrastructure
Requirements:
- 8+ years of hands-on experience building, deploying, and scaling production ML systems, with a proven track record of staff-level technical leadership
- Deep expertise in modern search, candidate generation, and recommendation architectures, including Two-Tower models, ANN vector indexing, Transformer rerankers, and learning-to-rank algorithms
- Hands-on experience with classical computer vision using OpenCV and modern deep vision architectures, including CNNs, Vision Transformers, diffusion models, and multimodal LLMs/CLIP
- Proven ability to build closed-loop ML systems that feed clicks, conversions, and sales back into upstream model training and generation logic
- Fluency in Python and the modern AI/ML stack, including PyTorch, LLM orchestration, and agentic frameworks such as LangChain and LangGraph
- Practical experience with production serving patterns, including FastAPI and event-driven async processing
- Experience with MLOps tools including CometML and Flyte
- Experience with cloud data warehouses such as Snowflake
- Comfort leveraging Gemini, Claude Code, and Claude Cowork for ideation, prototyping, system design, and production code development
- Proven track record of taking full technical ownership of end-to-end features and making architectural decisions across the stack
- Nice to have: experience in e-commerce, two-sided marketplaces, or creator platforms
- Resume must be submitted in English
Benefits:
- 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!
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