7 окт

Machine Learning Engineer - Recommendations

ориентир по рынку
вакансия зп не указана
в среднем 292 674 ₽
Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой

подготовься к отклику

ai-инструменты

Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме

Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.

We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).

This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience.

задачи

  • Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers.
  • Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance.
  • Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent.
  • Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products.
  • Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency.
  • Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation.
  • Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.

    🧠 Grow through challenge and ownership

    Take on big, ambiguous problems and accelerate your career with strong support.

    🌎 A culture built for builders

    High standards, collaboration, flexible working and continuous learning.

    💰 Share in the success you help create

    Competitive salary and equity options, so you're rewarded for the impact you make.

    ➡️ Want a deeper look at how we build? Check out our Tech Blog.

    требования

    • You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome.
    • You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems.
    • You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome.
    • You are proficient in Python and experienced with modern ML frameworks and large-scale data processing.
    • You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results.
    • You communicate complex technical ideas clearly and work effectively with cross-functional partners.

    условия

    At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

    🔧 Solve meaningful problems at real scale

    Work on a complex, always-on marketplace that impacts millions every day.

    навыки

    Сервис доставки еды и продуктов.

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

    Спроси Хайрика про вакансию

    Сверит с твоим резюме, подскажет вилку и вопросы на собесе.

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