5 months ago
Toronto, Canada +3 moreMid Level
H1B sponsor
Responsibilities
- Build and maintain the high-performance data layer used by modeling teams for training and evaluation jobs
- Work directly on petabyte-scale storage infrastructure and its networking and performance challenges
- Collaborate daily with researchers and engineers
Requirements
- 4+ years of experience working on data storage infrastructure
- Strong command of Python
- Experience with Kubernetes, particularly storage features such as Persistent Volumes and CSI drivers
- Ability to transform unstructured data into performant datasets across S3, GCS, and POSIX storage backends
- Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
- Familiarity with BigQuery, Airflow, or dbt is preferred
- Genuine excitement about AI and interest in following AI research
- Comfort operating at the edge of what is known and building new systems
Benefits
- Open and inclusive culture and work environment
- Weekly lunch stipend, in-office lunches, and snacks
- Full health and dental benefits, including a separate mental health budget
- 100% parental leave top-up for up to 6 months
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible work arrangement with offices in Toronto, New York, San Francisco, London, and Paris, plus a co-working stipend
- Six weeks of vacation, or 30 working days
Tech Stack
Categories
BackendData Engineering
About Cohere
Cohere builds large language models and an enterprise AI platform that companies use for search, summarization, and workflow automation, delivered via API or private deployments. Founded in 2019 and headquartered in Toronto, it focuses on multilingual models, data controls, and options to run across major clouds or on-premises. The business is privately held and serves security- and compliance-sensitive organizations.