Staff Data Scientist

FYUL

. Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank models .

Posted 10/15/2026full-timeRemote • LatviaLead💰 €6,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in building and deploying production ML systems, with a strong focus on modern search, recommendation architectures, and computer vision capabilities. Proven ability to lead technical teams, mentor contributors, and drive product innovation through end-to-end ownership of ML features.

Highest-signal resume keywords

8+ Years Experience In ML SystemsDeep Expertise In Search ArchitecturesHands-On Experience With OpenCVFluency In Python And AI/ML StackExperience With Two-Tower Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningComputer VisionDeep LearningRecommendation SystemsTwo-Tower ModelsLearning-To-Rank AlgorithmsCNNsVision TransformersMultimodal LLMsClosed-Loop ML Systems

Soft Skills

Technical LeadershipMentoringCollaborationProblem SolvingCommunication

Tools & Technologies

PyTorchFastAPICometMLFlyteSnowflakeLangChainLangGraphGeminiClaude CodeClaude Cowork

Industry Keywords

E-CommerceTwo-Sided MarketplacesCreator PlatformsA/B TestingAPI Development

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank models
Advance personalization engines using merchant history, niche trends, and sales performance signals
Connect merchant sales and conversion data to upstream design generation and candidate-ranking models
Oversee image-generation pipelines combining multimodal models with deep-learning architectures
Develop computer-vision capabilities for delayering, background separation, print-area quality analysis, and asset validation
Own end-to-end product innovation from model selection and fine-tuning through serving pipelines and frontend workflows
Prototype, iterate, and ship agentic pipelines and ML features using AI-assisted development tools
Define online/offline evaluation frameworks and oversee continuous A/B testing
Guide make-vs-buy, API-versus-self-hosted, fine-tuning, and inference-optimization decisions
Set applied-ML standards, mentor senior individual contributors, run design reviews, and promote measurable business impact

Requirements

What you’ll need

8+ years of hands-on experience building, deploying, and scaling production ML systems
Proven track record of staff-level technical leadership
Deep expertise in modern search, candidate generation, and recommendation architectures
Experience with Two-Tower models, ANN vector indexing, Transformer rerankers, and learning-to-rank algorithms
Hands-on experience with classical computer vision and modern deep vision architectures
Experience with OpenCV, CNNs, Vision Transformers, diffusion models, and multimodal LLMs/CLIP
Proven ability to build closed-loop ML systems using clicks, conversions, and sales outcomes
Fluency in Python and the modern AI/ML stack
Experience with PyTorch, LLM orchestration, and agentic frameworks such as LangChain and LangGraph
Experience with FastAPI, event-driven async processing, CometML, Flyte, and Snowflake
Comfort using Gemini, Claude Code, and Claude Cowork for AI-assisted development
Proven track record of full technical ownership of end-to-end features
Nice to have: experience in e-commerce, two-sided marketplaces, or creator platforms
Resume must be submitted in English

Benefits

Comp & perks

A global, inclusive team
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 mental or physical well-being
1 extra paid day off to celebrate a birthday or another celebration
Internal and external learning opportunities
Access to mentorship, internal meetups, and hackathons, both on-site and online
Free and healthy lunch if working from the Rīga office
Employee discount for designing and ordering merchandise
Team-building events and parties