Software Engineer, Data Infrastructure

New York, NY, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Semantic Search
  • Modeling
  • Training
  • Evaluation
  • Computer Networking
  • Data Storage
  • Python
  • Kubernetes
  • Unstructured Data
  • Storage
  • Amazon S3
  • GCS
  • POSIX
  • Data Processing
  • Apache Beam
  • Apache Spark
  • Apache Flink
  • Analytics
  • Recruiting
  • Collaboration
  • Artificial Intelligence
  • Research
  • Budget

Summary

Who are we?

Our mission 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!

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 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. 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

If some of the above doesn't line up perfectly with your experience, we still encourage you to apply!

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.

Full-Time Employees at Cohere enjoy these Perks:

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!)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91131002
  • Position Id: 2ca7732fdb72bce4bb2e91e3c8ae0685
  • Posted 7 hours ago
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