4 дня назад
Staff Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI): Building and scaling search, ranking, recommendation, generative AI, and computer vision systems for on-demand commerce with an accent on multimodal embeddings, closed-loop machine learning, and production-grade AI infrastructure. Focus on designing retrieval and ranking architectures, developing image generation and visual processing pipelines, optimizing model serving, and leading evaluation, experimentation, and technical governance.
Location: Hybrid; remote or office-based work in Riga. Listed locations: Poland, Estonia, Spain, Lithuania, and Portugal.
Company
is part of FYUL, a global on-demand commerce company formed through the merger of , Printify, and Snow Commerce.
What you will do
- Lead the architecture and scaling of candidate retrieval, ranking, personalization, and recommendation systems for products and designs.
- Develop multimodal search and recommendation capabilities using sequence embeddings, vector search, two-tower models, and learning-to-rank approaches.
- Oversee image generation and computer vision pipelines for design creation, product delayering, background separation, print-area analysis, and asset validation.
- Own end-to-end ML product development, from model selection, fine-tuning, and prompt engineering to serving pipelines and frontend API integration.
- Define evaluation frameworks and A/B testing strategies based on ranking quality, visual quality, conversion, and sales metrics.
- Set applied ML standards, guide make-versus-buy decisions, run design reviews, and mentor senior individual contributors.
Requirements
- 8+ years of hands-on experience building, deploying, and scaling production ML systems, with staff-level technical leadership experience.
- Deep expertise in search, candidate generation, recommendation systems, two-tower models, ANN vector indexing, transformer rerankers, and learning-to-rank algorithms.
- Hands-on experience with OpenCV, CNNs, Vision Transformers, diffusion models, multimodal LLMs, and CLIP.
- Strong Python and PyTorch experience, plus familiarity with LangChain, LangGraph, FastAPI, event-driven processing, Flyte, CometML, and Snowflake.
- Experience building closed-loop ML systems that use clicks, conversions, and sales outcomes to improve model training and generation logic.
- Ability to take full technical ownership of product features and make architectural decisions across the stack.
Nice to have
- Experience in e-commerce, two-sided marketplaces, or creator platforms.
Culture & Benefits
- Global, inclusive, and collaborative working environment.
- Flexible working hours, with the working day starting as late as 11 AM.
- Private health insurance and additional paid days off for well-being and personal celebrations.
- Internal and external learning opportunities, mentorship, meetups, and hackathons.
- Free healthy lunch for employees working from the Riga office.
- Employee merchandise discounts and team-building events.
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