Data Engineer

About the Role

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! 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.

Responsibilities

• 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

Requirements

• 5+ years of experience working on production-grade data processing systems
• Strong command of Python and SQL
• Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
• The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
• Experience with modern orchestration platforms, especially Kubernetes (nice to have)
• Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
• Knowledge of Java or Golang (nice to have)
• Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
• Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists

Qualifications

Not explicitly listed