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Too Good To Go

Senior Machine Learning Engineer

Too Good To Go · København, Hovedstaden, Denmark

Posted 23 days ago

or apply directly on Too Good To Go's site. We never take the application ourselves.

Is this posting real?

This role has been open
23 days
Too Good To Go's roles stay open a median of 45 days
Reposted
No
Salary listed
No
5% of Too Good To Go's roles list one
Ghost-job risk at Too Good To Go
high
31 stale, 7 reposted of 58 open
Hiring momentum
117 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Too Good To Go's own greenhouse board since 2026-08-03. Full hiring picture for Too Good To Go.

About this role

The Senior Machine Learning Engineer at Too Good To Go will focus on developing AI features for marketing personalization within the Consumer Growth Product and Tech team. The role involves researching, building, and deploying machine learning models to enhance user experience and improve food waste management. Collaboration with engineers, data scientists, and product members is essential to achieve impactful outcomes for millions of users.

Our read on this posting2.8out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Too Good To Go as an employer.

What you need

  • Established experience in a similar role
  • Experience using Python and deploying to production
  • First-hand experience with ML libraries, frameworks, and tools such as PyTorch, TensorFlow, Scikit-learn, Prophet, DeepAR
  • Degree in a technical field (Computer Science or equivalent engineering degree)
  • Experience in a cloud environment (AWS, Google Cloud, or Azure)

Nice to have

  • Experience with dbt, Snowflake, Airflow, or Metaflow
  • Experience in complex ML system design
  • Experience in statistical hypothesis testing

What you get

  • Opportunity to work in a global social-impact company
  • Integral member of defined product teams
  • Autonomous environment that encourages contribution and ownership
  • Part of an international company with over 1,300+ colleagues across 20 countries

Worth weighing

  • No salary listed
  • Hybrid work model may not suit everyone
  • The role involves collaboration which may require strong interpersonal skills

Summarised from Too Good To Go's posting. Read the full original.

Listed by Too Good To Go on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Too Good To Go

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