Machine Learning Intern/Co-op

📋 Description

• Create, train, and enhance state-of-the-art models.

• Assist in the development of innovative techniques to train and deploy models more securely, efficiently, and swiftly.

• Train exceptionally large-scale models utilizing extensive datasets.

• Investigate continual and active learning approaches for streaming data.

• Gain insights from seasoned senior machine learning professionals.

• Collaborate closely with product teams to devise effective solutions.

⛳️ Requirements

• Strong proficiency in Python and related machine learning frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.

• Experience with large-scale distributed training methodologies.

• Understanding of autoregressive sequence models, including Transformers.

• Excellent communication and problem-solving abilities.

• A proven enthusiasm for applied NLP models and products.

• Bonus: experience in writing kernels for GPUs using CUDA.

• Bonus: familiarity with training on TPUs.

• Bonus: publications in top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

🏝️ Benefits

• An open and inclusive culture and work environment.

• Collaborate closely with a team at the forefront of AI research.

• Weekly lunch stipend, in-office lunches, and snacks.

• Comprehensive health and dental benefits, with a separate budget for mental health care.

• 100% Parental Leave top-up for up to 6 months.

• Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace enhancement.

• Remote flexibility, with offices located in Toronto, New York, San Francisco, London, and Paris, along with a co-working stipend.

• 6 weeks of vacation (30 working days!).