Software Engineer, Data Infrastructure
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Job Description
Software Engineer building data infrastructure for AI training workloads. Collaborating with top researchers and engineers in cutting-edge AI.
Responsibilities:
- Build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs.
- 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
- [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt
- Genuine excitement about AI.
- Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimize 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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