Cohere

Cohere

Senior Member of Technical Staff, Web Data

Toronto · Staff+ · Full-time

Sponsorship not specified$175k-$380kDetected 137 days ago
PythonPandasSparkData EngineeringNLPA/B TestingResearchCommunication

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining.
  • Your work will be essential to Cohere's 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.

Responsibilities

  • Maintain large-scale pipelines for processing web corpora.
  • Work on filtering and quality-scoring systems to identify high-value web documents.
  • 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.
  • We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
  • We're training and deploying frontier models for enterprises who are building AI systems.
  • We obsess over what we build.
  • You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering.
  • We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities.

Requirements

  • 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 doesn't line up perfectly with your experience, we still encourage you to apply!
  • Working Location:
  • This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
  • 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.

Compensation

  • Annual enrichment

Benefits

  • 6 weeks of paid vacation (30 working days!)
  • Everyone receives a $500 home office stipend to set up your workspace properly.
  • Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
  • Education & learning stipend for conferences, courses, and coaching.
  • For those not near an office: a co-working benefit so you can work alongside others in your city.

Company info

  • 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 are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.
  • Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process.
  • Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers.
Apply directly at Cohere →Create a free account for alerts like thisView Cohere immigration profile

This listing is sourced directly from Cohere's careers page and normalized into a canonical job model.