Member of Technical Staff, Pre-Training Data Job at Cohere

Member of Technical Staff, Pre-Training Data

Cohere

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. 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.

Job Responsibility:

Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance
Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency
Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing
Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models

Requirements:

Strong software engineering skills, with proficiency in Python and experience building data pipelines
Familiarity with curriculum learning, data mixing and data attribution
Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools
Experience working with large-scale datasets, including web data, code data, and multilingual corpora
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

Nice to have:

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

What we offer:

An open and inclusive culture and work environment
Work closely with a team 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, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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