2026 Intern Machine Learning Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

2026 Intern Machine Learning Engineer

Ready to launch your engineering career in tech

When you join us as an engineering intern youll dive into real projects that impact the future of our products. Youll work side-by-side with experienced teams contribute meaningful code and see how a global tech company builds and scales innovation.

Internship Details

Location:Hamburg

Duration:6 months

Start date:1st March 2026

End date:31stAugust 2026

Eligibility:Students that are enrolled in Bachelor or Masters program must be graduating the following year. Final year of study based in Hamburg.

Hybrid:3 days per week in theoffice2 days per week work from home

About the role

In the Digital Video & Audio Machine Learning Team we build train maintain and deploy state-of-the-art machine learning technologies to our video and audio products. Adobe Sensei Features like Scene Edit Detection Auto Reframe Media Intelligence or Text Based Editing originated in this group.

With an increased focus on AI & ML throughout our apps we are looking to grow and enhance our machine learning framework to cover an even wider array of use cases.

What you will do

• Work closely with world leading experts in the field of Machine Learning and Video Editing

• Directly work in the core processing render and ML code of our video and audio applications.

• Enhance your skills to remain at the forefront of the newest development testing and deployment techniques

What you need to succeed

• Completing university course in computer science or equivalent work experience

• Strong C coding skills including an understanding of optimization performance ramifications of coding decisions and object-oriented design.

• Strong Python coding skills for evaluation and writing proof of concept code.

• Experience in building validating and evaluating machine learning models is a plus.

• Experience in working with different device ML pipeline technologies (CoreML ONNX etc) is a plus.

What to expect from the recruitment process. Our selection process typically consists of three stages as follows:

60-minute Online Assessment.

90-minute Technical Interview with the team.

45-minute Soft-Skills Interview with the Hiring Manager.

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