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Machine Learning Engineer Intern, Summer 2026 at Snap Inc. (Los Angeles, Palo Alto & Bellevue Locations): Apply Now
Machine Learning Engineer Intern, Summer 2026 at Snap Inc. (Los Angeles, Palo Alto & Bellevue Locations): Apply Now
📍 Location: Santa Monica, CA, US 💼 Employment Type: FULL_TIME 🏠 Work Mode: On Site
💰 Salary/Stipend: Not Disclosed - As per industry standards
Snap Inc., the technology company behind Snapchat, Lens Studio, and Spectacles, is recruiting for its Summer 2026 Machine Learning Engineer Internship. This is a high-impact, 13-week program designed for students who want to define the future of camera technology and augmented reality.
Snap believes the camera presents the greatest opportunity to improve how people live and communicate. As an ML Intern, you won't just be running scripts; you will create models that drive value for millions of users, helping power the fastest way to share a moment.
<>Detailed Role & Key Responsibilities>
You will work alongside full-time engineers to build robust, lasting, and scalable products. Your contributions will directly impact the Snap ecosystem.
1. Model Development
You will be immersed in the core logic of Snap's products.
Creation: Create models that drive value for users and advertisers.
Tradeoffs: Evaluate the technical tradeoffs of every decision you make.
Ranking: Work on machine learning ranking infrastructures (highly relevant for social feeds and ad tech).
2. Engineering Excellence
Code Quality: Perform code reviews and ensure exceptional code quality.
Scale: Build products that can handle millions of daily active users.
Iteration: Iterate quickly without compromising on stability.
<>Eligibility Criteria: Who Can Apply?>
Snap has specific academic requirements for this intake. Please check your graduation date carefully.
1. Academic Status (Strict)
Enrollment: Currently enrolled in a Bachelor’s or Master’s program in a technical field (e.g., Computer Science).
Graduation Window: You must be graduating between December 2026 and Spring 2027.
2. Experience & Logistics
Availability: Must be able to start in-office for a 13-week internship beginning in May or June 2026.
Experience: Must have prior machine learning internship, project, or academic experience.
<>Preferred Skills & Tech Stack>
To succeed in this role, you should have a strong understanding of ML approaches and algorithms. Experience with the following is highly preferred: