7 дней назад
Senior Machine Learning Engineer (Marketing Personalisation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Marketing Personalisation): Building and deploying machine-learning and statistical models that personalize meal recommendations for a consumer marketplace with an accent on experimentation, production ML, and customer-oriented outcomes. Focus on researching algorithms, evaluating experiments, designing complex ML systems, and improving recommendations used by millions of users.
Location: Copenhagen, Denmark (Hybrid)
Company
is a certified B Corporation building marketplace and retail technology solutions to help reduce food waste.
What you will do
- Research, design, and build machine-learning models for marketing personalisation.
- Run experiments, evaluate results, and improve models and algorithms.
- Develop statistical models and solve product and customer problems end to end.
- Build and deploy machine-learning models in production.
- Collaborate with engineers, data scientists, product members, and broader ML communities.
Requirements
- Established experience in a similar machine-learning engineering role.
- Production experience with Python and experience working in a cloud environment such as AWS, Google Cloud, or Azure.
- Hands-on experience with ML libraries, frameworks, and tools such as PyTorch, TensorFlow, Scikit-learn, Prophet, or DeepAR.
- Technical degree in Computer Science or an equivalent engineering field.
- Ability to submit a CV and cover letter in English.
Nice to have
- Experience with dbt, Snowflake, Airflow, or Metaflow.
- Experience designing complex ML systems and conducting statistical hypothesis testing.
Culture & Benefits
- Opportunity to develop and maintain a personalisation engine used by millions of users.
- Work in a global social-impact company focused on reducing food waste.
- Autonomous working environment with opportunities to contribute, develop, and take ownership.
- Defined product teams with scope for direct impact on product development.
- Inclusive culture centered on collaboration, high standards, simplicity, lasting impact, and care.
Hiring process
- Applications must be submitted through the company platform.
- CV and cover letter are required in English; applications by email or LinkedIn direct message are not accepted.
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