Senior ML Engineer – AI Sports Analytics & Evidence

Lever, Inc.

København

On-site

DKK 900,000 - 1,200,000

Full time

14 days+
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Job summary

Veo is an AI-powered sports camera and analysis ecosystem, delivering proof from matches through AI-driven end-user products. We seek a Senior Machine Learning Engineer to lead challenging ML systems, owning projects from concept to deployment and collaborating with a 20+ member AI team.

You will work across data annotation, modeling, validation, and deployment, staying current with research and applying it to product challenges.

Qualifications

  • MSc or PhD in a relevant field, or equivalent practical experience.
  • Extensive hands-on experience delivering real-world, large-scale ML projects.
  • Strong coding and software engineering skills, with experience building maintainable production systems.
  • Experience taking ownership of technically complex projects from concept to deployment.
  • Sound technical judgment and the ability to navigate ambiguity and balance research, product, and engineering considerations.
  • A rigorous and critical approach to examining details, assumptions, and results.
  • Strong communication skills and the ability to influence technical direction across teams.

Responsibilities

  • Train state-of-the-art machine learning models.
  • Write efficient inference pipelines for cloud and edge.
  • Define and supervise data annotation tasks.
  • Improve evaluation schemes to increase understanding of model performance and shortcomings.
  • Contribute to long-term planning and prioritization of tasks.
  • Mentor colleagues and raise the technical bar through feedback, knowledge sharing, and collaboration.

Skills

Coding
Production systems
Ownership
Collaboration
Communication
Ambiguity handling

Education

MSc or PhD in a relevant field
Equivalent practical experience

Tools

Python

Job description

Veo is an AI-powered sports camera and analysis ecosystem, delivering proof from matches through AI-driven end-user products. We seek a Senior Machine Learning Engineer to lead challenging ML systems, owning projects from concept to deployment and collaborating with a 20+ member AI team.

You will work across data annotation, modeling, validation, and deployment, staying current with research and applying it to product challenges.

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