Job Specifications
Company Description
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Job Description
This internship role will be based out of Mountain View, CA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You’ll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn’s products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.
Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies.
Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later.
Our internships are 12 weeks in length and will have the option of two intern sessions:
May 26th, 2026 - August 14th, 2026
June 15th, 2026 - September 4th, 2026
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
Qualifications
Basic Qualifications:
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
Preferred Qualifications:
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
Suggested Skills:
Machine learning and deep learning
Advanced data mining
Strategic thinking and problem-solving capabilities
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not l
About the Company
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..
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