over 1 year ago
Toronto, Canada +5 moreMid Level / Senior
H1B sponsor
Responsibilities
- Conduct data ablations to assess data quality and experiment with data mixtures.
- Develop robust data modeling techniques for optimal training efficiency.
- Research and implement innovative data curation methods.
- Collaborate with cross-functional teams to ensure data pipelines meet model demands.
Requirements
- Strong software engineering skills with proficiency in Python.
- Familiarity with curriculum learning, data mixing, and data attribution.
- Experience with data processing frameworks like Apache Spark or Pandas.
- Experience working with large-scale datasets, including web and multilingual data.
- Knowledge of data quality assessment techniques.
Benefits
- Open and inclusive culture and work environment.
- Weekly lunch stipend, in-office lunches, and snacks.
- Full health and dental benefits, including mental health support.
- 100% Parental Leave top-up for up to 6 months.
- Personal enrichment benefits for arts, culture, fitness, and workspace improvement.
- Remote-flexible work options and co-working stipend.
- 6 weeks of vacation (30 working days).
Tech Stack
Categories
Data EngineeringML Engineering
About Cohere
Cohere builds large language models and an enterprise AI platform that companies use for search, summarization, and workflow automation, delivered via API or private deployments. Founded in 2019 and headquartered in Toronto, it focuses on multilingual models, data controls, and options to run across major clouds or on-premises. The business is privately held and serves security- and compliance-sensitive organizations.