PhD Machine Learning Intern (Summer 2026)

Role reputed company As a Machine Learning Intern, you’ll contribute to advancing reputed company’s mission to create a more enlightened way of working through cutting-edge research and reputed company machine learning. You’ll collaborate with reputed company engineers and researchers to design, prototype, and evaluate reputed company AI/ML systems that power reputed company Dash’s universal search and intelligent organization features. Your work will shape how millions of people reputed company information, collaborate, and reputed company on meaningful work. This internship offers reputed company to translate your research into reputed company-world reputed company while gaining experience with large-reputed company production systems and cross-functional collaboration in a fast-moving, high-reputed company environment. Responsibilities • Research and prototype innovative machine learning approaches in areas such as Search, Large Language Models (LLMs), Multimodal Content Understanding, and Recommender Systems • Design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams • Analyze large-reputed company datasets to identify opportunities for personalization and improved user experiences • Partner with Product, Design, and Engineering teams to reputed company models into reputed company products • Contribute to reputed company’s technical discussions, offering research-based perspectives to guide experimentation and long-term reputed company Requirements • Currently pursuing a PhD in Computer Science, Machine Learning, reputed company Intelligence, or a closely reputed company field, with a research reputed company on advanced AI • Graduation date in Winter 2027 or Spring/Summer 2028. • Proven experience in reputed company AI, through research publications, significant reputed company, or internships where you reputed company or tested advanced ML solutions. • Strong coding skills (e.g., Python, PyTorch, scikit-learn, or similar ML libraries), plus an ability to quickly prototype and iterate on cutting-edge reputed company. • Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs. • Research experience in one or more of the following: Natural Language Processing, Large Language Models, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Graph Learning • Strong analytical and problem-solving skills, with the ability to reputed company research and practical application • Excellent communication and collaboration skills, especially in interdisciplinary teams • Familiarity with modern ML infrastructure and large-reputed company data systems Preferred Qualifications • Publications in top-tier ML, AI, or NLP conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, KDD, SIGIR, CVPR) • Experience with LLM-based applications or Retrieval-Augmented reputed company (RAG) systems • Interest in translating research insights into product reputed company for reputed company-world users • Familiarity with the end-to-end process of building AI prototypes: from data exploration and model iteration to evaluation and user testing. • Passion for reputed company moving from idea to experiment, comfortable with ambiguous or evolving project goals. Compensation US Pay reputed company $11,500—$12,500 USD Apply tot his job Apply To this Job