Spotify - 2026 Summer Internship, Machine Learning Engineering (New York City)
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Requirements
• You are pursuing a Bachelor's degree, Master’s degree or coding / AI bootcamp in a related field of study. • You have a graduation year date of 2026 or 2027. • You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2026. • You are available from June 15th to August 21st, 2026 to participate in the summer internship. • You’re genuinely curious about AI and enjoy learning through hands-on experimentation. • You have some experience programming (e.g., Python, Java, or similar) and basic exposure to machine learning concepts through coursework, projects, research, or bootcamp work. • You’re interested in areas like machine learning, generative AI, or large language models. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Experiment with machine learning and modern AI tools, including large language models (LLMs). • Prototype ideas, proof-of-concepts, or early-stage features using AI techniques. • Explore new models, libraries, or workflows and share insights with your team. • Learn how AI systems are evaluated, improved, and prepared for real-world use. • Collaborate with engineers, researchers, designers, and product partners in a supportive, learning-focused environment.
Benefits
• Equity options mentioned as part of compensation: "Equity." • Paid Time Off (PTO) is included with benefits such as vacation time and sick leave being referred to, which can be considered under PTO. • Remote work options indicated as part of Spotify'ner Work Culture and Flexibility Policy which allows for remote working up to 2 days a week starting from day one after orientation period: "Remote work."
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