Senior Member of Technical Staff, Web Data

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!

As a Senior Member of Technical Staff specializing in web data for pre-training you will play a pivotal role in developing the large scale web data pipeline that underpins Coheres advanced language this role you will work extensively with large-scale web corpora transforming raw noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline including extraction parsing deduplication and filtering. You will also analyze the composition and quality of web data study its impact on downstream model performance and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.

Your work will be essential to Coheres mission of delivering efficient and reliable language understanding and generation capabilities driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems this role offers a unique opportunity to make a meaningful impact.

Please Note: We have offices in London Paris Toronto San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU)

As a Senior Member of Technical Staff Web Data you will:

• Maintain large-scale pipelines for processing web corpora.

• Work on filtering and quality-scoring systems to identify high-value web documents.

• Analyze web data composition across domains languages and time periods.

• Develop and maintain highly-performant deduplication pipelines.

• Collaborate with cross-functional teams including researchers and engineers to ensure data pipelines meet the demands of cutting-edge language models.

You may be a good fit if you have:

• Strong software engineering skills with proficiency in Python and experience building data pipelines.

• Familiarity with data processing frameworks such as Apache Spark Apache Beam Pandas or similar tools.

• Experience working with large-scale web datasets.

• Knowledge of data quality assessment techniques and experimentation with data mixtures.

• A passion for bridging research and engineering to solve complex data-related challenges in AI model training.

Bonus: paper at top-tier venues (such as NeurIPS ICML ICLR AIStats MLSys JMLR AAAI Nature COLING ACL EMNLP).

If some of the above doesnt 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.

If some of the above doesnt 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.

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.

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.

• Remote-flexible offices in Toronto New York San Francisco London and Paris as well as a co-working stipend

• 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.

Required Experience:

Senior IC