Member of Technical Staff, MLE

🕒 March 18

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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

• Contribute to the design and delivery of custom LLM solutions for enterprise customers. • Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies. • Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets. • Develop SOTA modeling techniques that directly enhance model performance for customer use-cases. • Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks. • Work as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers.

🎯 Requirements

• Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions. • Fluency with Python and core ML/LLM frameworks. • Experience working with (or the ability to learn) large-scale datasets and distributed training or inference pipelines. • Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies. • Demonstrated ability to meaningfully shape LLM performance. • A broad view of the ML research landscape and a desire to push the state of the art. • Bias toward action, high ownership, and comfort with ambiguity. • Humility and strong collaboration instincts. • A deep conviction that AI should meaningfully empower people and organizations.

🏖️ 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!)