Amazon, Meta, Samsung, IBM, and Netflix have opened internships for future developers and AI engineers.

Major tech companies are opening internships for students and graduates — from software development to artificial intelligence research. We’ve compiled six current openings at Amazon, Meta, Samsung, IBM, and Netflix. Information verified via official company career pages.

Software Dev Engineer Intern Machine Learning, Amazon Robotics

The position is open at Amazon’s Berlin office, Amazon Development Center Germany GmbH. The intern will join the MLOps + Observability team, which develops Amazon Robotics’ warehouse robot program — simplifying infrastructure for training ML models, expanding monitoring of training processes, and developing perception models for robots. Candidates must be at least 18 years old, currently enrolled in a bachelor’s degree or higher in STEM fields, with an expected graduation date between October 2026 and September 2029, and have experience with neural networks, TensorFlow, and PyTorch.

Software Development Engineer Fall Intern — Military Veteran

A separate Amazon program available only to U.S. citizens who have served in the U.S. Armed Forces, including the reserves and National Guard, as well as spouses of military personnel. The position is open in several cities — California, Colorado, Massachusetts, New Jersey, New York, Virginia, and Washington. Compensation varies by location, ranging from $110,500 to $185,000 per year. Requirements include enrollment in a bachelor’s degree or higher in technical fields, an expected graduation date between October 2026 and September 2029, and applications are accepted on a rolling basis.

Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety

The position is located in Menlo Park, California, USA, within the PAR Trust & Safety team under Meta Superintelligence Labs — a Meta division responsible for the safe development of artificial intelligence and protecting users of the company’s products. The intern will work on enhancing AI models’ cyber defense capabilities — applying language models and AI agents for automation, detection, and mitigation of vulnerabilities — and develop methodologies for evaluating models’ cyber resilience. The internship lasts between 12 and 24 weeks.

Software Development Internship — Artificial Intelligence

An on-site position at Samsung’s research center — SRBR — in Campinas, São Paulo state, Brazil. The center focuses on artificial intelligence, information security, data science, and software development. The intern will implement software solutions, develop tools for research activities, and create prototypes for proposed technologies. Requirements include studying Computer Science, Computer Engineering, or a related field, proficiency in programming languages Java, C, C++, and Python, advanced English skills, and applications are accepted until September 30, 2026.

Intern Software Engineer / Agent Engineer — EDA — Poughkeepsie 2027

The position is located in Poughkeepsie, New York, USA, within IBM’s Electronic Design Automation team, which develops software and agent-based AI solutions for designing and verifying next-generation IBM processors. The intern will learn about the application of agent-based artificial intelligence in chip design, develop tools for functional verification and physical design, and work on algorithms that improve design quality. The minimum educational requirement is a high school diploma; preference is given to candidates with a higher education degree in Computer Science, Computer Engineering, or Electrical Engineering.

Video Algorithms Intern, Video Coding, Fall 2026

An on-site position in Los Gatos, California, USA, job ID JR40251. The internship lasts 24 weeks and focuses on Gaussian Splatting technology — a method for reconstructing 3D and 4D scenes that enables photorealistic rendering with low computational complexity on TVs, streaming devices, phones, and laptops. The intern will study model compression techniques, evaluate the trade-off between model size, training time, and rendering quality, and explore ways to reduce training time. Upon completion of the internship, a proof-of-concept demonstrating Gaussian Splatting-based rendering is expected to be developed.