Senior ML Infrastructure Engineer - Supercompute

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 role? This team is responsible for building the infrastructure and compute platform, which acts as the foundation for all members of technical staff at Cohere. Being self-directed, with an eagerness to identify key problems and an adaptability to varied work, is essential. As this team matures, the ability to focus on stability, making the platform observable and scalability becomes paramount. Having enthusiasm for learning with a willingness to tackle challenges head-on is critical for this role. The team's focus on building world-class infrastructure is critical to all of Cohere’s success. 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. For this role, we are targeting candidates who live in EMEA. \n In order to be successful in the role, you have: 5 years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience working with GCP, Azure, AWS and/or OCI Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork The grit and adaptability to solve complex technical challenges that evolve day to day Bonus qualifications: You worked with or supported MLEs or data scientists Familiarity troubleshooting RDMA networking \n 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.