Software Engineer, Data Infrastructure

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

Why this role?

We're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs.

As a Software Engineer, Data Infrastructure, you will:

- Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it.

- Collaborate daily with researchers and engineers who are some of the best in the world at what they do.

You may be a good fit if you have:

- 4+ years of experience working on data storage infrastructure

- Strong command of Python

- Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.)

- The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX

- Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink

- [Nice-to-have] Familiarity with modern analytics tooling such as BigQ...