wagey.ggwagey.ggv1.0-68eec7a-3-May
Browse Tech JobsCompaniesFeaturesPricingFAQs
Log InGet Started Free
Jobs/Co-op Role/Cohere - Machine Learning Intern/Co-op (Spring/Summer 2026)
Cohere

Cohere - Machine Learning Intern/Co-op (Spring/Summer 2026)

Remote - United States, European Union, United Kingdom, Canada3mo ago
RemoteInternNAMental HealthArtificial IntelligenceCo-opInternJAXPythonTensorFlowSpringTraining Development

Upload My Resume

Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT

Apply in One Click
Apply in One Click

Requirements

• 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: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! • 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. • Full-Time Employees at Cohere enjoy these Perks: • 🤝 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 & snacks • 🦷 Full health and dental benefits, including a separate budget to take care of your mental health • 🐣 100% Parental Leave top-up for up to 6 months • 🎨 Personal enrichment benefits towards arts and culture, fitness and 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!)

Responsibilities

• 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.

Benefits

• Ship state of the art models to production. • Design and implement novel research ideas. • Build elegant training/deployment pipelines.

Similar Jobs

LABHOUSELABHOUSE - Spontanious applications & Interships2d ago
·Barcelona, Catalunya, Spain
In OfficeEMEAHigher EducationCo-op
Mechanical OrchardMechanical Orchard - Software Engineer [New Grads Welcome]2d ago
·Remote - Canada (Remote)
RemoteNAJuniorArtificial IntelligenceSoftware EngineerCo-opMechanical EngineerFull Stack
bjakcareerbjakcareer - Member of Technical Staff, Machine Learning3d ago
·London, Greater London, United Kingdom
In OfficeEMEAStaffArtificial IntelligenceMachine Learning EngineerJAXCoaching
Get Started Free

No credit card. Takes 10 seconds.

Privacy·Terms··Contact·FAQ·Wagey on X