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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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  • Student Worker - Machine Learning Engineer

    veoride
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    Found 1 month ago
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    Kering
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Student Worker - Machine Learning Engineer

veoride
Found 1 month ago
Location
Copenhagen, Denmark
Time
Not disclosed
Work Mode
On-site
Salary
Hourly
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Machine Learning
  • Python
  • PyTorch
  • coding skills

Soft Skills

  • Ability to work both independently and as part of a team
  • ambitious
  • high-performing
  • strong academic record
  • passion for the field

Job Description

As a Student Machine Learning Engineer at Veo you will get to work on challenging problems and directly contribute to the value created by our AI-driven end-user products. You will become part of our AI team, which comprises 12 researchers and engineers that are responsible for all stages in the machine learning lifecycles across different projects - from scoping and defining data annotation tasks to modeling, validation, and deployment. You will work on well-defined tasks that align with the team’s goals, getting guidance and sparring from experienced teammates to the extent you need. We stay current with the latest research and continuously discuss concepts and ideas in recent papers to assess their relevance to our tasks and product-specific challenges. We are looking to add an ambitious, high-performing student worker with a strong academic record, experience with multiple machine learning projects, good coding skills, and a passion for the field.

Requirements

  • BSc/MSc ongoing within a relevant field and with a strong academic record
  • Ability to work onsite from the Copenhagen office 1 or 2 days per week
  • Hands-on experience with multiple machine-learning projects in Python and PyTorch
  • Good coding skills
  • Ability to work both independently and as part of a team

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • creativity
  • potential
  • ability to contribute meaningfully
▶Apply Now

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