- Страна
- Канада
- Зарплата
- 135 000 CA$ – 155 000 CA$
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на вакансии с ИИ

Machine Learning Engineer, Growth
Отличная позиция в известном международном бренде с прозрачной вилкой зарплаты и хорошим соцпакетом. Гибридный график и работа над реальными бизнес-задачами делают вакансию очень привлекательной для ML-инженеров среднего и старшего уровня.
Сложность вакансии
Роль требует уверенных навыков в разработке ML-систем промышленного масштаба, владения PySpark и понимания бизнес-метрик. Сложность обусловлена необходимостью работать с огромными массивами данных и интегрировать модели в сложные CI/CD процессы.
Анализ зарплаты
Предложенная зарплата в 135,000 – 155,000 CAD полностью соответствует рыночным ожиданиям для опытных ML-инженеров в Торонто. Это конкурентоспособное предложение, находящееся в пределах медианы для технологического сектора Канады.
Сопроводительное письмо
I am writing to express my interest in the Machine Learning Engineer position within the Customer Value Forecasting team at HelloFresh. With a strong background in Python, SQL, and building scalable ML systems, I am excited about the opportunity to contribute to your value forecasting initiatives. My experience in designing production-ready models and implementing drift detection aligns perfectly with your team's mission to drive business outcomes through advanced analytics.
I am particularly drawn to HelloFresh's data-driven culture and the challenge of working with massive datasets to solve complex forecasting problems. Having worked with modern CI/CD pipelines and cloud-based ML tooling, I am confident in my ability to iterate quickly on proof-of-concept models and transition them into robust production environments. I look forward to the possibility of bringing my technical expertise and passion for growth-oriented ML to your Toronto-based team.
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Откликнитесь в hellofresh уже сейчас
Присоединяйтесь к HelloFresh и создавайте инновационные ML-решения для прогнозирования ценности клиентов в одной из ведущих фудтех-компаний мира!
Описание вакансии
S'more about the team
We are hiring a Machine Learning Engineer in our Customer Value Forecasting team inside the Customer Value Optimization department to help build innovative Machine Learning products which drive value forecasting at HelloFresh. As a Machine Learning Engineer, you will build machine learning products that directly impact business outcomes, working on cutting-edge forecasting problems with the assistance of AI. Additionally, you will master the design and construction of scalable, robust, and efficient machine learning systems capable of handling massive datasets and intricate models.
Lettuce share what this role will be responsible for
- Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
- Collaborate with product managers and business stakeholders to understand their needs and translate them into machine learning products and analysis.
- Create proof-of-concept Machine Learning models and quickly iterate on them to build them into production-ready products under the guidance of senior team members.
- Evaluate the performance of machine learning models and make recommendations for improvement.
- Stay up-to-date on the latest advancements in machine learning and artificial intelligence. Propose and implement process improvements or tools to enhance the machine learning development lifecycle and team efficiency.
- All other duties, as assigned
Sound a-peeling? Here's what we're looking for
- A passion for solving complex business problems with machine learning within a fast-paced business environment. Experience with Machine learning for marketing is a plus.
- Strong programming skills in Python and SQL. Previous experience with PySpark is a plus.
- Hands-on experience with designing and maintaining large scale Machine Learning systems for production use cases including model monitoring and drift detection.
- Pick up new technologies and modeling methodologies quickly while solving actual business problems.
- Interest in working with modern data science tooling such as cloud development, version control, CI/CD, model registries and a feature store.
- Ability to communicate complex technical findings to both technical and non-technical stakeholders.
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
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
$135,000—$155,000 CAD
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Навыки
- Python
- SQL
- PySpark
- Machine Learning
- CI/CD
- Cloud Computing
- Version Control
- Feature Store
- Model Monitoring
Возможные вопросы на собеседовании
Позиция сфокусирована на прогнозировании ценности клиента (LTV), что критично для маркетинга.
Как бы вы подошли к построению модели прогнозирования пожизненной ценности клиента (LTV) для сервиса подписки на наборы еды?
В описании указано требование к мониторингу моделей и обнаружению дрейфа.
Какие стратегии вы используете для мониторинга качества моделей в продакшене и как вы определяете дрейф данных (data drift)?
Упоминается работа с большими данными и PySpark.
Опишите ваш опыт оптимизации производительности при обработке терабайтных наборов данных с использованием PySpark.
Вакансия предполагает тесное сотрудничество с продакт-менеджерами.
Расскажите о случае, когда вам пришлось объяснять сложную техническую концепцию или ограничение модели нетехническому стейкхолдеру.
Роль включает создание масштабируемых систем.
Как вы организуете процесс CI/CD для ML-проектов, включая версионирование данных и реестры моделей?
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- Страна
- Канада
- Зарплата
- 135 000 CA$ – 155 000 CA$