Staff Data Scientist – Remote in Europe

This is a fully remote position, open to applicants in Poland, +6 more countries.

📋 Description

• Direct the architectural vision for candidate retrieval, multi-objective ranking, and learning-to-rank models pertaining to raw product and design recommendations.

• Enhance personalization engines through sequence embeddings derived from merchant history, niche trends, and sales performance indicators.

• Link downstream merchant sales and conversion metrics to upstream design generation and candidate ranking models.

• Supervise image generation pipelines that integrate LLMs/multimodal models with deep learning frameworks such as diffusion models, UNets, and Vision Transformers.

• Build classical computer vision and deep learning competencies for tasks like delayering, automated background separation, print-area quality assessment, and asset validation.

• Serve as a product engineer with complete technical independence over model selection, fine-tuning, prompt engineering, self-hosting, serving pipelines, and frontend workflows.

• Quickly prototype, iterate, and deliver comprehensive agentic pipelines and ML features utilizing AI-assisted development.

• Establish and enhance online/offline evaluation frameworks while managing ongoing A/B testing.

• Advise on make-vs-buy and API versus self-hosted fine-tuning choices and optimize inference processes.

• Set applied ML standards, mentor senior individual contributors, conduct design reviews, and promote measurable business outcomes.

• Collaborate with data science and machine learning engineering teams to elevate production systems into enterprise-grade AI infrastructure.

⛳️ Requirements

• Over 8 years of practical experience in building, deploying, and scaling production ML systems, demonstrating a strong background in staff-level technical leadership.

• Extensive knowledge in modern search, candidate generation, and recommendation architectures, including Two-Tower models, ANN vector indexing, Transformer rerankers, and learning-to-rank algorithms.

• Practical experience in classical computer vision using OpenCV and contemporary deep vision architectures, including CNNs, Vision Transformers, diffusion models, and multimodal LLMs/CLIP.

• Proven capability to construct closed-loop ML systems that integrate clicks, conversions, and sales back into upstream model training and generation logic.

• Proficient in Python and the current AI/ML stack, including PyTorch, LLM orchestration, and agentic frameworks such as LangChain and LangGraph.

• Hands-on experience with production serving patterns, including FastAPI and event-driven asynchronous processing.

• Familiarity with MLOps tools like CometML and Flyte.

• Experience with cloud data warehouses such as Snowflake.

• Comfortable utilizing Gemini, Claude Code, and Claude Cowork for ideation, prototyping, system design, and production code development.

• Demonstrated history of taking full technical responsibility for end-to-end features and making architectural decisions throughout 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 is both supportive and ambitious, committed to achieving results.

• The option to work remotely or from a modern and welcoming office in Riga.

• Flexible work hours (start your day as late as 11 AM).

• Private health insurance.

• 2 additional paid days off to prioritize your mental or physical well-being.

• 1 extra paid day off to celebrate your birthday or any other occasion of your choice.

• Opportunities for internal and external learning.

• Access to mentorship, internal meetups, and hackathons, both on-site and online.

• Free and healthy lunch provided if you work from the Rīga office.

• Design and order your own merchandise using our platforms with an employee discount.

• Exciting team-building events and unforgettable parties!