Lead Member of Technical Staff, Inference Infrastructure

Cohere

• $150K — $200K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of engineering experience managing large-scale production infrastructure
  • Experience leading architecture and design of high-availability distributed systems with Kubernetes
  • Deep expertise in Kubernetes development and production support, including best practices
  • Extensive experience with cloud platforms (GCP, Azure, AWS, OCI) and hybrid environments
  • Strong background in Linux-based computing systems, from design to troubleshooting
  • Proven experience with compute/storage/network resource management at an organizational level
  • Exceptional collaboration and mentorship skills in cross-functional teams and initiatives

Responsibilities

  • Lead technical direction and architecture for optimized NLP models in production
  • Serve as a key contact for customizing deployment solutions for clients
  • Drive strategy for low latency and high throughput AI platform performance
  • Mentor engineers to enhance technical standards and practices within the team
  • Guide infrastructure decisions across multi-cloud and hybrid setups
  • Collaborate with teams to address and solve complex technical challenges
  • Establish best practices for using accelerators to optimize system performance

Benefits

  • Open and inclusive work culture
  • Collaboration with leading AI research teams
  • Weekly lunch stipend and in-office meals/snacks
  • Comprehensive health and dental benefits, including mental health support
  • 100% Parental Leave top-up for 6 months
  • Personal enrichment benefits for various activities
  • Remote-flexible work arrangement with multiple office locations
  • 6 weeks of vacation (30 working days)
Full Job Description
Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: - 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 If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! Full-Time Employees at Cohere enjoy these Perks: 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 šŸ™ 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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