AI/ML Engineer Intern – Generative AI, PhD – Summer 2026 (Mountain View, CA)

LinkedIn is the world’s largest professional network, dedicated to creating economic opportunities for its members. They are seeking innovative and motivated PhD students for an internship in Generative AI, where interns will conduct research and development on advanced AI models and collaborate with teams to enhance user experiences through cutting-edge technologies.

Responsibilities

• Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures
• Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning
• Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn’s platform
• Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking
• Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents
• Contribute to internal frameworks for human-in-the-loop annotation and preference modeling

Skills

• Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship
• Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures
• Knowledge of generative models, neural networks, and probabilistic methods for AI
• Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch
• Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms
• Experience with multimodal learning, combining visual and textual data in Generative AI systems
• Knowledge of reinforcement learning applied to Generative AI tasks
• Hands-on experience deploying generative models in production environments
• Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV)
• Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX)
• Involvement in consumer-facing product development and design
• Understanding of configuration management techniques and tools
• Proven proficiency with command of algorithms and data structures
• Excellent communication skills

Benefits

• Annual performance bonus
• Stock
• Benefits and/or other applicable incentive compensation plans

Company Overview

Company H1B Sponsorship