The opportunity
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.
What you'll do
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 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
What they're looking for
- 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
