Member of Technical Staff – Training Infra Engineer

🕒 March 28

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Cohere

WebsiteLinkedInAll Job Openings

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

• Design and write high-performant and scalable software for training. • Improve our training setup from an infrastructure and codebase performance standpoint. • Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure • Research, implement, and experiment with ideas on our supercompute and data infrastructure. • Learn from and work with the best researchers in the field.

🎯 Requirements

• Extremely strong software engineering skills. • Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. • Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray) • Experience using large-scale distributed training strategies. • Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure • Bonus: paper at 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 • 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!)