Lead Member of Technical Staff, Inference Infrastructure

Cohere

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of engineering experience with large scale production infrastructure and technical leadership
  • Experience designing large, highly available distributed systems with Kubernetes and GPU workloads
  • Proficiency in Kubernetes development and support, with a focus on best practices
  • Extensive knowledge of multi-cloud environments including GCP, Azure, AWS, and OCI
  • Track record in managing and optimizing compute/storage/network resource costs
  • Strong skills in collaborating and mentoring engineers in complex technical scenarios
  • Deep understanding of GPU, TPU, and custom accelerators in computing environments

Responsibilities

  • Lead architecture and strategy for deploying NLP models in high availability environments
  • Serve as a technical leader across multiple teams in the AI platform
  • Mentor engineers to elevate technical standards across the team
  • Design customized deployments based on customer requirements
  • Drive collaboration for building scalable, reliable systems
  • Troubleshoot and support complex Linux-based environments at scale
  • Establish best practices in distributed systems engineering

Benefits

  • An open and inclusive work culture
  • Access to teams at the forefront of AI research
  • Weekly lunch stipend with in-office dining options
  • Comprehensive health and dental benefits, including mental health support
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits for arts, culture, fitness, and workspace improvements
  • Remote-flexible work with offices in major cities and co-working stipend
  • 30 days of vacation per year
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 🏙 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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