Save application

Kayak

16 days ago

Machine Learning Engineer Manager

Onsite · Berlin Office

pythonawskuberneteskafka cost centers

arbeitnow

Match & cover letter

Create a profile to see your match and get a cover letter for this role.

Create profile and match

Source: arbeitnow

Never pay or share passwords or codes with an employer. How to spot a fake job

AI TL;DR

You will lead a team in Berlin to develop KAYAK's Machine Learning Platform. This role combines technical leadership with hands-on engineering to enhance machine learning capabilities.

AI match

Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Machine Learning Engineer Manager at Kayak?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

Five questions are free. The rest are Pro. See Pro

Similar roles

Job description

You will lead a team in Berlin to develop KAYAK's Machine Learning Platform. This role combines technical leadership with hands-on engineering to enhance machine learning capabilities.

Details

  • Berlin, work from office 3 days per week
  • 5+ years of experience
  • Skills: Python, AWS, Kubernetes, Kafka

The work

  • Own the strategy and roadmap for the Machine Learning Platform
  • Lead and mentor a team of Machine Learning Platform Engineers
  • Drive technical direction across platform architecture and ML lifecycle
  • Build and evolve shared ML capabilities for production-ready solutions