or apply directly on CarOnSale's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days CarOnSale's roles stay open a median of 24 days
- Reposted
- No
- Salary listed
- No 0% of CarOnSale's roles list one
- Ghost-job risk at CarOnSale
- moderate 12 stale, 1 reposted of 41 open
- Hiring momentum
- 47 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 CarOnSale's own greenhouse board since 2026-08-03. Full hiring picture for CarOnSale.
About this role
As a Machine Learning Engineer at CarOnSale, you will be responsible for taking machine learning models from handoff to production, ensuring their reliability through monitoring and incident response. You will work within a shared platform that involves data extraction, validation, transformation, training, and evaluation, while also setting engineering standards for scalability. Your role includes reviewing model designs and extending the platform to accommodate new models efficiently.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- 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 CarOnSale as an employer.
What you need
- 2+ years in production machine learning engineering with ownership of models after handoff
- Strong Python skills, including typed and tested production-grade code
- Depth in machine learning to challenge pipeline aspects like problem framing and model evaluation
- Hands-on experience with managed ML platforms (SageMaker, Vertex AI, Databricks, or Azure ML)
- Experience with feature stores, CI/CD for machine learning, AWS, and Terraform
- Proficiency in English at C1 level, both written and spoken
Nice to have
- Experience with Snowflake and dbt
- Experience mentoring colleagues or reviewing their work
- Comfort operating in undefined situations
What you get
- Hybrid working: 3 days in office, 2 days remote
- 25 'Work from Anywhere' days per year
- 28 days annual leave
- 2× annual career & development conversations
- Company pension with 20% employer contribution
- Fully paid Deutschlandticket (public transport)
Worth weighing
- No salary listed
- The role involves significant ownership and responsibility for model performance
- The technology stack includes AWS and Terraform, which may be seen as legacy by some
- The position requires strong collaboration and communication skills in English, as German is not required
Summarised from CarOnSale's posting. Read the full original.
Listed by CarOnSale on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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