Job Overview Our mission is to scale intelligence to serve humanity. We are training and deploying frontier models for developers and enterprises who are building AI systems to power content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. Why this role? Ship state‑of‑the‑art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern. As a Machine Learning Intern, You Will Design, train and improve upon cutting‑edge models. Help us develop new techniques to train and serve models safer, better, and faster. Train extremely large‑scale models on massive datasets. Explore continual and active learning strategies for streaming data. Learn from experienced senior machine learning technical staff. Work closely with product teams to develop solutions. You May Be a Good Fit If You Have Proficiency in Python and related ML frameworks such as TensorFlow, TF‑Serving, JAX, and XLA/MLIR. Experience using large‑scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Strong communication and problem‑solving skills. A demonstrated passion for applied NLP models and products. Bonus: experience writing kernels for GPUs using CUDA. Bonus: experience training on TPUs. Bonus: papers at top‑tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Eligibility To be eligible for this position you must be a student currently enrolled in a post‑secondary program, available for a full‑time 3‑6 month internship, co‑op, or research work term. Benefits An open and inclusive culture and work environment. Work closely with a team on the cutting edge of AI research. Weekly lunch stipend, in‑office lunches and snacks. Full health and dental benefits, including a separate budget to take care of mental health. 100% parental leave top‑up for up to 6 months. Personal enrichment benefits towards arts, culture, fitness, well‑being, quality time, and workspace improvement. Remote‑flexible; offices in Toronto, New York, San Francisco, London, and Paris; as well as a co‑working stipend. 6 weeks of vacation (30 working days). We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. #J-18808-Ljbffr