Lead Member of Technical Staff, Inference Infrastructure

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

🖥 Ingénieur Logiciel

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Cohere

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere est une plateforme d’IA de premier plan qui fournit aux entreprises des modèles de langage avancés et un espace de travail (workspace) intégré conçu pour l’efficacité et la sécurité. Grâce à une famille de modèles génératifs et de retrieval hautes performances, Cohere permet aux organisations de rationaliser leurs workflows, de renforcer la sécurité des données et de révéler des insights dans de nombreux secteurs grâce à des capacités multilingues. Leur priorité accordée à des solutions d’IA sur mesure garantit la protection des données critiques tout en facilitant une intégration fluide aux processus opérationnels existants.

Description

• Join the Model Serving team at Cohere and provide technical leadership across multiple teams • Drive the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments • Serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs • Mentor engineers to raise the technical bar across the team

🎯 Exigences

• 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership • Demonstrated experience leading the architecture and design of large, highly available distributed systems with Kubernetes and GPU workloads on those clusters • Deep expertise with Kubernetes dev and production coding and support, including setting team-wide standards and best practices • Extensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments, with the ability to guide strategic infrastructure decisions • Proven ability to lead the design, deployment, support, and troubleshooting of complex Linux-based computing environments at scale • Experience owning compute/storage/network resource and cost management at an organisational level, including optimisation strategies • Exceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives to build mission-critical systems • The grit and adaptability to both solve and guide others through complex technical challenges that evolve day to day • Strong expertise in the computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), and how to leverage them to drive latency and throughput improvements at scale • Deep knowledge of distributed systems, with experience establishing patterns and practices across engineering teams • Proficiency in Golang, C++ or other languages designed for high-performance scalable servers, with the ability to set coding standards and conduct senior-level technical reviews

🏖️ Avantages

• 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!)