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Machine learning engineer for recommendations

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в среднем 291 559 ₽
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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends.

задачи

  • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences.
  • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes.
  • Deploy and optimise batch and real-time machine learning models serving millions of customers.
  • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS.
  • Improve system performance, reliability, observability and scalability across the machine learning lifecycle.
  • Contribute to technical design decisions, architecture discussions and engineering best practices.
  • Mentor and support other engineers through coaching, collaboration and knowledge sharing.
  • Help strengthen technical practices across the team and the wider machine learning community at ASOS.
  • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams.

требования

  • Experience designing, building and deploying machine learning systems in production environments.
  • Strong understanding of machine learning engineering principles and modern software engineering practices.
  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.
  • Experience training and optimising models using large datasets and distributed compute infrastructure.
  • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.
  • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.
  • Experience building reliable, observable and scalable services in cloud environments.
  • Comfortable providing technical leadership and mentoring other engineers.
  • Strong collaboration and communication skills, with experience working in cross-functional product teams.
  • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products.

условия

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.