FAQs
What is the duration of the internship?
The internship is a 10-week program starting from June 2nd, 2025, and ending on August 8th, 2025.
What is the application deadline for the internship?
Internship applications must be submitted by April 4th, 2025.
Where is the internship based?
The internship is hybrid based out of our Berlin office, with in-person attendance expected 2-3 times a week.
What tools and languages should candidates be familiar with?
Candidates should be proficient in Python, and have experience with libraries such as PyTorch or TensorFlow, as well as data processing libraries like Pandas and NumPy.
What type of projects will interns work on?
Interns will assist in data preparation, model validation, and A/B test analysis for Seq2Seq-based recommendation models, impacting personalized content recommendations.
Is this internship paid?
Yes, this is a paid internship program.
Are there opportunities for professional development during the internship?
Yes, interns will receive various professional and personal development opportunities, including mentorship programming, fireside chats with senior leadership, and networking events with other SoundCloud employees.
Is there a focus on diversity and inclusion in this internship program?
Yes, SoundCloud is deeply committed to diversity, equity, and inclusion at all levels of the organization, and the internship program is designed to invest in diverse talent.
What are the key responsibilities of the Machine Learning Engineer Intern?
Key responsibilities include assisting in data preparation, validating Seq2Seq recommendation models, conducting experiments on large-scale datasets, performing A/B test analysis, and presenting findings to the team and leadership.
What prior knowledge of machine learning is required?
A strong understanding of machine learning concepts, specifically Seq2Seq models, Transformers, and RNNs, as well as familiarity with recommender system metrics is required.