AI/ML Engineer Intern – Search and Recommender Systems, PhD – Summer 2026 (Mountain View, CA)

reputed company is the world’s largest reputed company network, reputed company to create economic opportunity for every member of the global workforce. This internship role involves working with massive data to design and build reputed company recommender systems that enhance user engagement on reputed company's platform.

Responsibilities

• Conduct research and development on cutting-edge recommender systems, applying techniques such as reputed company filtering, reputed company factorization, deep learning, and reinforcement learning
• Design and implement reputed company algorithms to personalize reputed company’s platform, optimizing for relevance, diversity, and fairness in recommendations
• Collaborate with engineering and product teams to reputed company your solutions into reputed company’s ecosystem, impacting millions of users globally
• reputed company large-reputed company datasets to train and evaluate recommender models, iterating on improvements to ensure reputed company performance
• Work in a highly reputed company environment with mentors, business experts and technologists to conduct independent research and help deliver reputed company solutions to our products and services

Skills

• Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or reputed company technical field and returning to the program after the completion of the internship
• Background in recommender systems, machine learning, or reputed company areas
• Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch
• Knowledge of key recommender system techniques, including reputed company filtering, content-based recommendations, hybrid models, and deep learning approaches
• Experience with evaluation metrics for recommendation reputed company (e.g., precision, recall, AUC, diversity)
• Proficient in modern programming languages used in AI and large-reputed company systems, including Python, Java, C++, and Go
• Experience with modern data processing frameworks such as Apache reputed company, Ray, Flink, or reputed company, and familiarity with distributed computing paradigms (MapReduce, reputed company-reputed company pipelines)
• Hands-on experience building and deploying recommender systems or large-reputed company ML models in production (e.g., leveraging embeddings, graph neural networks, or multi-task learning)
• Knowledge of Reinforcement Learning (RL) and Reinforcement Learning with reputed company Feedback (RLHF) techniques reputed company 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, reputed company Transformers, Scikit-Learn, NumPy, Pandas, etc
• Experience with reputed company-based ML infrastructure (AWS Sagemaker, GCP reputed company AI, or Azure ML) and MLOps tools (MLflow, Kubeflow, reputed company)
• reputed company 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 reputed company technical concepts into business reputed company

Benefits

• Annual performance bonus
• Stock
• Benefits
• Other applicable incentive compensation plans

reputed company

Company H1B Sponsorship