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SeniorFlexibleNew York

Research Engineer

C
Cohere
Уровень
Senior
Формат
Flexible
О роли

Описание вакансии

About the company

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.

Role Overview

As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management for complex combinations of real and synthetic data used in both model training and evaluation. You will own the cohesive vision of these tooling repositories.

Responsibilities
  • Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
  • Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
  • Establish standardized processes for data validation, analysis, and improvement of data for both training and evaluation
  • Collaborate with the ML modeling team to align data capabilities with experimental needs
  • Maintain opinionated, well-documented solutions that become team standards
  • Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps
Requirements
  • Extremely strong software engineering skills
  • Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
  • Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g., BigQuery, SQL)
  • Demonstrated ability to own complex technical projects from conception to deployment
  • Opinionated approach to technical architecture with ability to make principled decisions
  • Understanding of ML data requirements and the intersection of data engineering with modeling workflows
Conditions
  • This role can be based remotely or from one of our office locations; there is no minimum in-office qualification requirement. Timezone restrictions: UK, Europe, or ET.
  • Full-Time Employees enjoy perks: weekly lunch stipend, full health and dental benefits, RRSP matching, 401K, Pension Scheme, 100% Parental Leave top-up, annual enrichment benefits, education stipend, 6 weeks paid vacation, travel budget, co-working benefit, home office stipend.
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