Senior Machine Learning Engineer
Too Good To Go2 days ago
Copenhagen, DenmarkSenior
Responsibilities
- Research, build, and design machine learning models for marketing personalization.
- Run experiments, evaluate results, and improve machine learning models and algorithms.
- Solve product and customer problems end to end with a customer-oriented mindset.
- Build and deploy machine learning models in production.
- Develop and apply statistical models.
- Collaborate with engineers, data scientists, product members, and other product teams to improve the product.
Requirements
- Established experience in a similar machine learning role.
- Experience using Python and deploying machine learning solutions to production.
- Hands-on experience with machine learning libraries, frameworks, and tools such as PyTorch, TensorFlow, Scikit-learn, Prophet, and DeepAR.
- A technical degree, such as Computer Science or an equivalent engineering degree.
- Experience working in a cloud environment such as AWS, Google Cloud, or Azure.
- Preferred experience with dbt, Snowflake, Airflow, or Metaflow; complex machine learning system design; and statistical hypothesis testing.
Benefits
- Work on the personalization engine used by millions of users daily to support food-waste reduction.
- Join a global, certified B Corporation with tangible social impact.
- Contribute to product scope and development as an integral member of a defined product team.
- Work in an autonomous environment with opportunities to contribute, develop, and take ownership.
- Join an international company with more than 1,300 colleagues across 20 countries.
- The role is based in Copenhagen, Denmark, with a hybrid work arrangement.
Tech Stack
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