Machine learning engineer in personalisation

ASOS

Greater London

On-site

GBP 90,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Скидка на товары ASOS
Корпоративная медицинская страховка
Гибкие льготы
Дискреционные бонусы
25 дней отпуска
Возможность обучения

Job summary

ASOS ищет старшего инженера по машинному обучению в команду Search & Recommendations. Ваша задача — проектировать, строить и внедрять ML-системы для поиска, ранжирования и персонализации, влияя на то, как миллионы клиентов открывают и покупают одежду.

Вы будете сотрудничать с учёными и инженерами, разворачивать батчевые и реального времени модели, наставлять коллег и вносить вклад в техническое направление команды.

Qualifications

  • Опыт применения ML и DL в-prod средах.
  • Опыт работы с DL-фреймворками и распределёнными вычислениями.
  • Навыки разработки и эксплуатации ML-систем.

Responsibilities

  • Работа в кросс-функциональной команде над ML-системами поиска и рекомендаций.
  • Разработка и развёртывание моделей в производственной среде.
  • Участие в улучшении кодовой базы и инженерных практик.
  • Менторство коллег и сотрудничество с инженерами и учёными.

Skills

Машинное обучение
Глубокое обучение
MLOps
Python

Tools

TensorFlow
PyTorch
GPU-обучение
Распределённые системы

Job description

Описание:

We're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers discover products every day. Sitting within ASOS's Search & Recommenders area, the team is responsible for the recommendation, ranking and personalisation systems that sit at the heart of the customer journey. From surfacing the most relevant products and outfits to powering personalised shopping experiences, our work directly influences how customers discover and shop fashion on ASOS.

Задачи:
  • Work as part of a cross-functional team designing, building and improving machine learning systems that power search, ranking and recommendation experiences.
  • Collaborate closely with Applied Scientists and engineers to develop and deploy machine learning solutions that deliver measurable customer and commercial value.
  • Build, deploy and maintain batch and real-time machine learning models in production environments.
  • Contribute to recommendation, ranking and personalisation capabilities that support millions of customer interactions each day.
  • Continuously improve our systems, codebase and engineering practices while contributing ideas for new features and capabilities.
  • Support and mentor other engineers through coaching, knowledge sharing and technical collaboration.
  • Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community.
Требования:
  • Experience applying machine learning and deep learning techniques in production environments.
  • Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
  • Experience working with distributed training infrastructure, GPU-based training environments and parallelisation approaches.
  • Strong understanding of software engineering principles, development lifecycles and MLOps practices.
  • Experience developing reliable, scalable machine learning systems in production.
  • Comfortable providing technical leadership, mentoring and support to other engineers.
  • Strong collaboration and communication skills, with the ability to work effectively across engineering, science and product teams.
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
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