machine learning engineer for ecommerce AI

Enfint; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

eBay – глобальная платформа электронной коммерции, соединяющая покупателей и продавцов на более чем 190 рынках. Команда Foundation Models строит Generative AI и основы для полноценных ML-систем в рамках личностных и коммерческих сценариев.

Ваша роль — проектировать, строить и внедрять ML и генеративные возможности для крупных ecommerce-приложений, работать с LLM, эмбеддингами, ранжированием и мультимодальными моделями, обеспечивая качество, latency и observability на продакшн-уровне.

Qualifications

• Опыт создания и развёртывания ML-систем в проде.
• Глубокие знания ML/NLP, LLM, эмбеддинги, ранжирование и мультимодальные модели.
• Опыт обучения, дообучения, оценки и развёртывания моделей.

Responsibilities

• Разработка и продакшн-готовка ML и Generative AI для крупных ecommerce-приложений.
• Проектирование систем с LLM, retrieval, эмбеддингами, мультимодальностью и персонализацией.
• Разработка пайплайнов обучения, дообучения, оценки и развёртывания моделей.

Skills

NLP/LLM

Python

PyTorch

TensorFlow

Production ML

Distributed systems

Reinforcement learning

Big data processing

Cloud platforms

Research to production

Education

Master’s, PhD or equivalent in CS/ML AI

Tools

PyTorch

TensorFlow

Python libraries

ML tooling

Job description

Описание: eBay is a global ecommerce platform that connects buyers and sellers in more than 190 markets. Its Foundation Models team builds Generative AI and foundation-model capabilities for intelligent marketplace experiences, including retrieval, multimodal understanding, and personalization.

Задачи

• Design, build, and productionalize machine learning and Generative AI capabilities for large-scale ecommerce applications
• Build and optimize systems involving LLMs, retrieval-augmented generation, embeddings, multimodal models, ranking, and personalization
• Develop learning systems that improve from feedback signals, including reinforcement learning, preference optimization, reward modeling, bandits, and online/offline feedback loops
• Partner with applied researchers to turn prototypes and experiments into maintainable production capabilities
• Build robust training, fine-tuning, evaluation, and deployment pipelines for large-scale machine learning models
• Improve model quality, latency, cost, reliability, and observability across production AI systems
• Collaborate with engineering, product, and platform teams to integrate AI capabilities into eBay experiences
• Apply software engineering practices including code quality, testing, monitoring, documentation, and operational excellence
• Track advances in machine learning, Generative AI, and foundation models and bring relevant innovations into production
• Raise scientific and technical standards through structured experimentation, peer review, documentation, and technical contributions

Требования

• Master’s, PhD, or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field
• 8 Years of relevant work experience
• Strong hands-on experience building and deploying machine learning systems in production environments
• Deep understanding of machine learning, NLP, Large Language Models, neural architectures, embeddings, retrieval, ranking, or multimodal modeling
• Experience with model training, fine-tuning, evaluation, deployment, and performance optimization
• Experience with reinforcement learning or feedback-driven learning systems, including preference learning, reward modeling, bandits, or continuous model improvement loops
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
• Experience with scalable data processing, distributed systems, cloud infrastructure, or model-serving platforms
• Ability to design practical solutions balancing quality, latency, cost, reliability, and maintainability
• Strong problem-solving skills and ability to work independently in ambiguous technical areas
• Excellent collaboration and communication skills across research, engineering, product, and platform teams
• Strong ownership and a track record of delivering high-impact technical work as an individual contributor

Условия

Work location: Amsterdam, North Holland, Netherlands;

Equal opportunity employer with accommodations available for applicants with disabilities.