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hellofresh
Страна
Канада
Зарплата
170 000 CA$ – 190 000 CA$
+500% приглашений

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SeniorГибридПолная занятость

Senior Machine Learning Engineer, Growth

Оценка ИИ

Отличная позиция в известном бренде с конкурентной зарплатой, современным стеком (GenAI, LLM) и прозрачными бонусами. Гибридный формат работы в Торонто и сильная корпоративная культура делают вакансию очень привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области MLOps, разработки микросервисов и работы с LLM на уровне Senior. Высокая планка ожиданий по части владения PySpark и облачными инфраструктурами для высоконагруженных систем.

Анализ зарплаты

Медиана165 000 CA$
Рынок145 000 CA$ – 210 000 CA$
Оценка ИИ

Предложенный диапазон 170,000 – 190,000 CAD полностью соответствует и даже немного превышает средние рыночные показатели для Senior ML Engineer в Торонто, где медиана составляет около 165,000 CAD.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Machine Learning Engineer position within the Growth Tech Alliance at HelloFresh. With a proven track record of architecting and deploying high-performance ML infrastructure, I am excited by the opportunity to transition your algorithmic prototypes into resilient production systems. My experience in building scalable microservices and orchestrating LLM-based agents aligns perfectly with your mission to automate marketing at an unprecedented scale.

Throughout my career, I have focused on the end-to-end lifecycle of production ML systems, leveraging AWS and GCP to build cost-effective and automated pipelines. I am particularly impressed by HelloFresh's commitment to using multi-modal embeddings and Gen AI tools to solve complex architectural challenges. I am confident that my expertise in Python, PySpark, and modern ML frameworks like PyTorch will allow me to contribute immediately to your team's velocity and the reliability of your global marketing systems.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в hellofresh уже сейчас

Присоединяйтесь к HelloFresh и создавайте будущее маркетинга с помощью передовых ML-технологий в Торонто!

Описание вакансии

We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.

S'more about the team

We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.

Lettuce share what this role will be responsible for

As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:

  • Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
  • Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
  • Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
  • Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
  • Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
  • All other duties, as assigned

Sound a-peeling? Here's what we're looking for

  • Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
  • Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
  • Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
  • Expert programming skills in Python and PySpark.
  • A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
  • Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
  • A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.

Let’s cut to the cheese, this is why you'll love it here

  • *Box Discount* - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
  • *Health & Wellness* - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
  • *Vacation & PTO* - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
  • *Family Benefits* - A parental leave top-up program for expectant parents.
  • *Growth & Development* - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
  • *Work Hard & Have Fun* - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
  • *Diversity & Inclusion Initiatives* - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
  • *Food Puns* - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

#Engineering

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Toronto, ON Pay Range

$170,000—$190,000 CAD

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • PySpark
  • PyTorch
  • TensorFlow
  • Huggingface
  • AWS
  • GCP
  • Azure
  • Microservices
  • LLM
  • Generative AI
  • CI/CD
  • MLOps

Возможные вопросы на собеседовании

Проверка опыта масштабирования моделей из прототипа в продакшн.

Расскажите о самом сложном случае перевода ML-прототипа в высокопроизводительный микросервис: с какими проблемами задержки (latency) вы столкнулись?

Оценка навыков работы с современными LLM-фреймворками.

Как бы вы спроектировали систему оркестрации для LLM-агентов, чтобы обеспечить надежность и управляемость ответов в маркетинговых кампаниях?

Проверка владения инструментами обработки больших данных.

В каких сценариях использования PySpark вы сталкивались с узкими местами в производительности при обработке 1P-данных и как вы их оптимизировали?

Оценка опыта в MLOps и обеспечении качества.

Как вы организуете процесс детектирования дрейфа данных (drift detection) и автоматического переобучения моделей в CI/CD пайплайне?

Проверка архитектурного мышления в облаке.

Какие стратегии оптимизации затрат вы применяете при развертывании тяжелых ML-моделей в облачных экосистемах (AWS/GCP)?

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hellofresh
Страна
Канада
Зарплата
170 000 CA$ – 190 000 CA$