AIML Scientist Intern AIMS AI Foundations PhD Fall 2026

Internship Overview We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands‑on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas. Domain Areas Agentic AI – Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval‑augmented reasoning, memory and goal management, and feedback‑driven learning. LLM Evaluations – Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment. Multimodal Data – Building models and pipelines that integrate text, image, video, audio, and other data modalities; experience with large vision‑language models and modality fusion. LLM Training Data Curation – Researching and implementing methods for selecting, filtering, and improving training data quality to enhance model performance. Qualifications Must Have Currently enrolled PhD student in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Cognitive Science, or a related field. Able to work 40 hours per week during the fall/winter. Proficiency in Python. Strong foundation in machine learning, deep learning, and algorithms/statistics. Experience with one or more major ML frameworks: PyTorch, TensorFlow, or JAX. Ability to design, run, and interpret ML experiments in an applied research setting. Ability to translate research ideas into practical prototypes and evaluations. Strong oral and written communication skills for presenting technical work clearly. Nice to Have Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning. Familiarity with HuggingFace, Transformers, Pandas, NumPy, and scikit-learn. Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, CIKM, UAI, CVPR, or related. Experience with agentic systems, multimodal modeling, or applied LLM workflows. Exposure to evaluation design, benchmarking, and model quality tradeoffs. Familiarity with distributed computing environments such as Spark or Presto. Comfortable with software engineering best practices (version control, testing, code review). About the Internship Interns are fully embedded within their team, own meaningful projects, and operate with the same autonomy as full‑time employees. Internship duration: minimum 12 weeks, targeting a September 2026 start date. Location: Los Gatos, CA headquarters or remote; flexible depending on team. This program is intended for students who will be returning to school for at least one semester/quarter following the internship. Compensation The overall market range for Netflix Internships is typically $40/hour – $85/hour, based on total compensation. Benefits Netflix provides comprehensive benefits including health plans, mental health support, a 401(k) retirement plan with employer match, stock option program, disability programs, health savings and flexible spending accounts, family‑forming benefits, and life and serious injury benefits. Paid leave of absence programs are also offered. Equal‑Opportunity Employment We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. #J-18808-Ljbffr Netflix