Data Engineer
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Job Description
Data Engineer responsible for building foundational infrastructure for AI deployments and product launches. Collaborating with top researchers and engineers in cutting-edge AI systems.
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
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!)
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