Job Description

Who are we?

We're a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

We recently raised our , signed a multi-year partnership with , and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We're ambitious - we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere's CEO, Aidan Gomez, is a co-author of the groundbreaking paper , (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

As a Data Engineer, you will:

Optimize and design our data pipeline to power state of the art large language models. This includes deploying web crawlers, and productionizing techniques to improve data quality and storage.

Ideate and evaluate novel sources of data to drive emerging language model capabilities forward.

Collect, store, and analyze human feedback to power our model evaluation schema.

You may be a good fit if:

• This role is ideal for you if you are an effective team builder. Here you will build the data engineering team to support the training of extremely large-scale models.
• You have experience working with pandas, pyspark, and NLP.
• You have worked on a software or machine learning engineering team.
• You have worked in the past on large scale ETL pipelines.
• You have experience working with human annotated data (e.g., collecting or assessing sample quality).
• You have significant experience building data pipelines.
• You're a strong communicator.
• You're passionate about building rapport with your team.
• You are excited to add new technologies to your toolbox and use them where it makes sense.

Please Note: We have offices in Toronto, Canada, Palo Alto, USA and London, UK. We also embrace being remote-first!

If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.

Our Perks:

?Y An open and inclusive culture and work environment

?Y'aEUR?Y' Work closely with a team on the cutting edge of AI research

?Y Free daily lunch

?Y Full health and dental benefits, including a separate budget to take care of your mental health

?Y 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

?YZ Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

?Y(TM) Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

aoe^i 6 weeks of vacation and shared Canada/US/UK holidays

#LI-Remote