Data Engineer (Data Foundations)

• We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it
• As a member of our Analytics & Data Insights team, you’ll tackle the kind of problems that don’t have textbook answers yet, launch products that didn’t exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line
• Work directly on storage infrastructure, product launches, and new customer experiences built on one of the most advanced AI systems in the world
• Collaborate daily with researchers and engineers who are some of the best in the world at what they do
• Run implementations end-to-end and see initiatives through to real outcomes — no waiting around to be told what to do
• Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy

Benefits

• Six weeks’ paid vacation
• Equity / stock options
• RRSP, 401(k), and Pension Scheme contributions
• Coverage for 100% of your insurance premiums across health, dental, vision, and travel
• Additional coverage for accessing mental health providers/services
• Six months of fully paid parental leave, including adoption and surrogacy
• Financial support for egg freezing and IVF in Canada and the UK
• A monthly fitness and wellness allowance
• Globally dispersed company that supports a remote work culture
• A $2,000 annual education benefit for professional development
• A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
• A monthly arts and culture allowance
• A monthly quality time allowance- Experience with modern orchestration platforms, especially Kubernetes (nice to have)
• Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
• 5+ years of experience working on production-grade data processing systems
• Strong command of Python and SQL
• Knowledge of Java or Golang (nice to have)
• Comfort operating at the edge of what’s known, with a desire to build something genuinely new rather than optimise what already exists
• Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
• Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
• The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!