Senior ML Engineer: Personalization for Impact (Hybrid)

Too Good To Go

København

Hybrid

DKK 900,000 - 1,200,000

Full time

2 days ago
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Benefits offered by this job

Impactful work
Hybrid work model
Global team
Autonomy
International company

Job summary

Too Good To Go is seeking a Senior Machine Learning Engineer to join the Consumer Growth Product and Tech team in Copenhagen. You will define, build, and deliver AI features for marketing personalization, collaborating with engineers, data scientists, and product members.

Your work will aim to match users with the best meals at the right time to maximize impact. The ideal candidate will have hands-on Python production experience, familiarity with ML libraries, and a background in a cloud

Qualifications

  • Experience in a similar role.
  • Experience using Python and deploying to production.
  • Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn.
  • Degree in Computer Science or related engineering field.
  • Experience in a cloud environment (AWS, Google Cloud, or Azure).
  • Bonus: dbt, Snowflake, Airflow, or Metaflow; complex ML system design.

Responsibilities

  • Working on researching, building, and designing different machine-learning models for marketing personalization.
  • Running experiments, evaluating, and using the results to improve machine learning models and algorithms.
  • Working end-to-end to solve problems with a product and customer-oriented mindset.
  • Building and deploying models in production.
  • Involvement in developing statistical models.
  • Collaborating with the rest of the team to improve our product and solve customer problems.

Skills

Python
Production deployment
ML libraries
Collaboration
Problem solving

Education

Computer Science degree

Tools

PyTorch
TensorFlow
Scikit-learn
Metaflow
Airflow

Job description

Too Good To Go is seeking a Senior Machine Learning Engineer to join the Consumer Growth Product and Tech team in Copenhagen. You will define, build, and deliver AI features for marketing personalization, collaborating with engineers, data scientists, and product members.

Your work will aim to match users with the best meals at the right time to maximize impact. The ideal candidate will have hands-on Python production experience, familiarity with ML libraries, and a background in a cloud

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