Cohere
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
Research Engineer
🕒 February 16
PyTorch
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Cohere
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
📋 Description
• Building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems. • Work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports research programs.
🎯 Requirements
• Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work). • Enjoy writing clean, reliable code and building systems that others can use and extend. • Are comfortable experimenting, running ablations, analyzing results, and iterating quickly. • Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks) • Like collaborating closely with researchers and translating ideas into practical implementations. • Are excited to grow your research instincts while staying grounded in engineering excellence.
🏖️ 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 & 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!)
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