Software Engineer, Data Infrastructure
Cohere
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 infrastructureStrong command of PythonKubernetes 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 POSIXExperience with distributed data processing frameworks such as Apache Beam, Spark, or FlinkFamiliarity with modern analytics tooling such as BigQuery, Airflow, or dbt (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 optimize what already exists.Full‑Time Employees Enjoy These Perks
An open and inclusive culture and work environmentWork closely with a team on the cutting edge of AI researchWeekly lunch stipend, in‑office lunches & snacksFull health and dental benefits, including a separate budget to take care of your mental health100% parental leave top‑up for up to 6 monthsPersonal enrichment benefits towards arts and culture, fitness & well‑being, quality time, and workspace improvementRemote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend6 weeks of vacation (30 working days)EEO Statement
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
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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 infrastructureStrong command of PythonKubernetes 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 POSIXExperience with distributed data processing frameworks such as Apache Beam, Spark, or FlinkFamiliarity with modern analytics tooling such as BigQuery, Airflow, or dbt (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 optimize what already exists.Full‑Time Employees Enjoy These Perks
An open and inclusive culture and work environmentWork closely with a team on the cutting edge of AI researchWeekly lunch stipend, in‑office lunches & snacksFull health and dental benefits, including a separate budget to take care of your mental health100% parental leave top‑up for up to 6 monthsPersonal enrichment benefits towards arts and culture, fitness & well‑being, quality time, and workspace improvementRemote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend6 weeks of vacation (30 working days)EEO Statement
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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