Назад
Company hidden
4 дня назад

Staff Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland/Spain/Portugal +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global is part of FYUL, a global on-demand commerce company formed through the merger of hirify.global, 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →