Cohere
Cohere is a leading AI platform providing enterprises with advanced language models and an integrated workspace designed for efficiency and security. With a family of high-performance generative and retrieval models, Cohere enables organizations to streamline workflows, enhance data security, and unlock insights across various industries through multilingual capabilities. Their focus on customized AI solutions ensures the protection of critical data while facilitating seamless integration into existing organizational processes.
Natural Language Processing • Machine Learning • Artificial Intelligence
Manager - Technical Staff, Model Efficiency
March 19
Cohere
Cohere is a leading AI platform providing enterprises with advanced language models and an integrated workspace designed for efficiency and security. With a family of high-performance generative and retrieval models, Cohere enables organizations to streamline workflows, enhance data security, and unlock insights across various industries through multilingual capabilities. Their focus on customized AI solutions ensures the protection of critical data while facilitating seamless integration into existing organizational processes.
Natural Language Processing • Machine Learning • Artificial Intelligence
📋 Description
• Own the team's technical strategy and roadmap by setting metrics and product-focused goals • Identify skill gaps and resource needs in the team, hire talented engineers to fill those gaps, while continuously raising the bar • Deep understanding of ML accelerators, model architectures, and how to optimize their model performance on accelerators for inference • Make suitable judgement calls on the choice of inference frameworks and strategies for optimization balancing risk versus impact • Work with product managers, tech leads, and machine learning engineers to build out engineering plans or capture requirements • Manage the team's workload and priorities, ensuring timely delivery of projects • Mentor and coach team members, providing guidance on technical skills and career development
🎯 Requirements
• Proven track record as a people leader (3+ years of experience in engineering management); passionate about building rapport with your team and prioritizing 1:1s • Hands-on experience with large language models (LLMs) • Experience developing large foundation models, distributed training infrastructure, and/or inference frameworks • Excellent presentation and communication skills, comfortable explaining technical topics to non-technical users or members of other teams • Passionate about recruiting and growing people and teams • Comfortable leading multiple projects and adjusting processes quickly when priorities change
🏖️ 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 6 months for employees based in Canada, the US, and the UK • 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 and London and co-working stipend • 6 weeks of vacation
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🇺🇸 United States – Remote
💵 $113.1k - $184.7k / year
💰 Post-IPO Equity on 2023-10
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