LinkedIn · 3 days ago
AI/ML Engineer Intern – Search and Recommender Systems, PhD – Summer 2026 (Mountain View, CA)
Mountain View, CA
Internship
Hybrid
Intern
$62/hr - $75/hr
Start in 2026 SpringLinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. This internship role involves working with massive data to design and build scalable recommender systems that enhance user engagement on LinkedIn's platform.
Professional NetworkingRecruitingSocial MediaSocial Recruiting
Responsibilities
Conduct research and development on cutting-edge recommender systems, applying techniques such as collaborative filtering, matrix factorization, deep learning, and reinforcement learning
Design and implement scalable algorithms to personalize LinkedIn’s platform, optimizing for relevance, diversity, and fairness in recommendations
Collaborate with engineering and product teams to integrate your solutions into LinkedIn’s ecosystem, impacting millions of users globally
Leverage large-scale datasets to train and evaluate recommender models, iterating on improvements to ensure optimal performance
Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services
Qualification
Required
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
Background in recommender systems, machine learning, or related areas
Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch
Knowledge of key recommender system techniques, including collaborative filtering, content-based recommendations, hybrid models, and deep learning approaches
Experience with evaluation metrics for recommendation quality (e.g., precision, recall, AUC, diversity)
Preferred
Proficient in modern programming languages used in AI and large-scale systems, including Python, Java, C++, and Go
Experience with modern data processing frameworks such as Apache Spark, Ray, Flink, or Databricks, and familiarity with distributed computing paradigms (MapReduce, cloud-native pipelines)
Hands-on experience building and deploying recommender systems or large-scale ML models in production (e.g., leveraging embeddings, graph neural networks, or multi-task learning)
Knowledge of Reinforcement Learning (RL) and Reinforcement Learning with Human Feedback (RLHF) techniques applied to recommendation or personalization tasks
Experience with LLM-based or hybrid retrieval and ranking systems
Proficiency with modern ML and deep learning frameworks — TensorFlow, PyTorch, JAX, Hugging Face Transformers, Scikit-Learn, NumPy, Pandas, etc
Experience with cloud-based ML infrastructure (AWS Sagemaker, GCP Vertex AI, or Azure ML) and MLOps tools (MLflow, Kubeflow, Weights & Biases)
Track record of research contributions or publications in top conferences such as NeurIPS, ICML, ICLR, or KDD
Strong communication and collaboration skills, with the ability to translate complex technical concepts into business impact
Benefits
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
Founded in 2003
10001+ employees
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Leadership Team
Ryan Roslansky
Chief Executive Officer
Dan Shapero
Chief Operating Officer
Recent News
2026-01-10
2026-01-09
2026-01-09
Company data provided by crunchbase