About the Role
- Our mission at Cohere 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 are actively building the data infrastructure necessary to support some of the most demanding AI training workloads globally, and we are seeking sharp, curious individuals to join this effort. In this role, you will be responsible for building and maintaining the high-performance data layer that our Modeling teams depend on for their training and evaluation jobs.
Responsibilities
- 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.
Requirements
- 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
- 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 optimize what already exists
Qualifications
Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt
Benefits
- 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 up to 6 months
- 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, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)