Machine Learning Student Worker

21 Feb 2024
Job Information

Organisation/Company

Veo

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Denmark

Application Deadline

21 Mar 2024 – 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Veo is the world’s most exciting AI-powered sports company. We’re democratizing the world of sports by granting video and analysis for sports teams on all levels – a privilege that used to be only for the few. More than 25,000 games in 90+ countries are recorded every week.

But that’s not the most remarkable thing about us.

The coolest thing is our people. We’ve attracted some of the brightest minds in the industry. They are the reason we can create a great product and do it while enjoying ourselves.

Working as a student assistant in Veo’s AI team is evolving, challenging, and exciting. You’ll be collaborating with skilled and experienced full-time ML researchers and engineers while getting the chance to take responsibility for your projects. At the same time, you’ll never be left alone but get good support from the rest of the team when facing challenges. This creates a suitable environment for a student worker to develop new skills technologically, theoretically, and operation-wise.

Primary tasks:

• Develop machine learning models from scratch.
• Improve existing models and apply them to new data.
• Acquire knowledge of innovative research within different machine-learning areas.
• Scope projects and goals.
• Make further explorations on machine learning in sports environments.
• Do data analysis.
• Use standard software practices to improve development and machine learning operations.

Requirements

Good theoretical foundations in machine learning and (preferably) computer vision. Comprehensive skills in Python and machine learning libraries. Experience with classic software development concepts like git, servers, GPUs, and cloud services.

At Veo, you’ll be part of a thriving work environment where every day brings new excitement. Our rapid growth ensures a diverse and ever-changing atmosphere. We believe in work-life balance and providing a positive culture that allows you to thrive personally and professionally.

Our Copenhagen office mirrors our innovative technology – with an indoor ball court, rooftop terrace, and well-equipped gym. We have created a facility that supports connecting disciplines across the business, facilitates creative thinking, and gives the space to engage with colleagues, our global partners, and the entire Veo community.

Diversity and differences are valuable assets for us. We value diversity and inclusion and welcome people from all backgrounds. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply.

We’re committed to building a diverse, inclusive, and authentic workplace. And you may be just the right candidate for this or other roles.

Still interested? Join us at Veo and become a part of a team that delivers greatness and has a great time doing it.

We will invite for interviews continuously, so apply with LinkedIn or your resume as soon as possible.

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Veo

Country

Denmark

Geofield

Where to apply

Website

https://illbeback.ai/job/machine-learning-student-worker/?utm_source=euraxess

STATUS: EXPIRED