Infrastructure Talent Pool (Storage Engineer, Site Reliability Engineer, MLOps)

Cohere in Toronto / San Francisco / Seattle / London / Canada / New York / United States / Remote UK

Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this team?
This org is responsible for building world-class infrastructure that is critical to all of Cohere’s success. Focus on stability, scalability, and observability are all paramount as this work acts as the foundation for all members of technical staff.

Our team optimizes for a wide range of technical skillsets (some of which are outlined below). Being self-directed and adaptable, identifying and solving key problems are essential.

If you're interested in joining our Infrastructure Team but don't see a role that suits your experience, we'd love to hear from you! Our talent team will reach out to you, if your skills are a good match for an upcoming opening.

Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.

We have offices in Toronto, New York, San Francisco, and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs.

Our 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 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

Note: This post is co-authored by both Cohere humans and Cohere technology.
    • 5+ years of engineering experience running production infrastructure at a large scale
    • Experience working with and supporting MLEs or data scientists
    • Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
    • Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based distributed computing environments
    • Synchronized data between different cloud providers
    • Worked with distributed filesystems (such as Lustre, Weka, or Vast)
    • Built internal tooling to help large numbers of data engineers manage costs and data lifecycle optimization
    • Have run analysis for technical teams, with a focus on metrics like compute utilization
    • Comfortable designing dashboards and reports for senior leadership
    • Have used systems like Grafana, Prometheus, BigQuery, and Looker in your day to day work to design dashboards
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