Data Engineer, Data Foundations

Who are we

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

Were training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers engineers designers and more who are all passionate about their craft.

We are a global technology company co-headquartered in Toronto and San Francisco with key offices in London New York City Montreal Seoul Germany and Paris. Join us!

Why this role

Were 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 youll tackle the kind of problems that dont have textbook answers yet launch products that didnt exist a year ago and help enterprises understand what foundational AI actually means for their bottom line.

As a Data Engineer you will:

• Work directly on 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

• Partner across research marketing sales and finance to help define how Cohere 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 command of Python and SQL

• Experience with distributed data processing frameworks such as Apache Beam Spark or Flink alongside large-scale data system design

• The ability to transform unstructured data into performant datasets in relational databases and blob storage

• Familiarity with modern analytics stack tooling such as BigQuery Airflow or dbt

• Knowledge of Java or Golang (nice to have)

• Experience with Kubernetes (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 whats known with a desire to build something genuinely new rather than optimise what already exists

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

• A weekly lunch stipend of $75/75 or equivalent in your local currency for lunch.

• Full health and dental benefits including a separate budget for mental health.

• RRSP matching 401K Pension Scheme.

• 100% Parental Leave top-up for up to 6 months for either parent.

• Annual enrichment benefits:

  • Arts & culture fitness/wellness quality time and a workspace improvement credit.

  • Education & learning stipend for conferences courses and coaching.

• 6 weeks of paid vacation (30 working days!)

• Budget for traveling to other offices if you are remote plus an annual company offsite.

How and Where We Work:

• Cohere is remote-friendly. We have offices in Toronto San Francisco New York City London Paris Montreal and more coming soon.

• For those in the office: a daily lunch program plenty of snacks and regular community and social events.

• For those not near an office: a co-working benefit so you can work alongside others in your city.

• Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesnt line up exactly with your experience we still encourage you to apply.

We 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.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesnt limit the applications our recruiters may review or consider.

Required Experience:

IC