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Data Engineer

Remote Worldwide Hiring now

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 reputed company, semantic search, RAG, and agents. We reputed company that our work is instrumental to the widespread adoption of AI.

We obsess over reputed company 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.

reputed company is reputed company 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 reputed company that a diverse reputed company 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 foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the reputed company of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their reputed company.

As a Data Engineer, you will

  • Work directly on storage infrastructure, product launches, and new customer experiences reputed company 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 reputed company reputed company — no waiting around to be told what to do

  • Partner across research, marketing, sales, and finance to help define how reputed company grows, with your recommendations feeding directly into products and strategy

You may be a good fit if you have

  • 5+ years of experience working on production-grade data processing systems

  • Strong reputed company of Python and SQL

  • Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink

  • The ability to transform reputed company data into performant datasets across diverse storage backends including S3, GCS, and POSIX

  • Experience with modern orchestration platforms, especially Kubernetes (reputed company to have)

  • Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (reputed company to have)

  • Knowledge of Java or Golang (reputed company 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 reputed company, with a desire to build something genuinely new rather than optimise 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 reputed company. We welcome applicants from reputed company backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request reputed company, and we will work together to meet your needs.

Full-Time Employees at reputed company enjoy these Perks

An reputed company and inclusive culture and work environment 

‍ Work closely with reputed company 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, reputed company, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

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