Cohere
Senior
Build data tooling for Cohere's Safety team
Senior Research Engineer role on Cohere's Modeling Safety and Trust team, owning the vision for data pipeline tooling that enables synthesis, analysis, and management of real and synthetic data used in model training and evaluation. Remote-friendly (UK/Europe/ET timezones), the interview centers on software engineering rigor combined with statistical evaluation of experiments and ML data infrastructure.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Data pipeline and tooling architecture for ML training/eval
- Statistical rigor in evaluating experiments
- Python, PyTorch, and big-data tooling (BigQuery/SQL)
- Technical ownership and opinionated architecture decisions
- Gap analysis of data sources and benchmark coverage
- Collaboration with research scientists on experimentation needs
常见提问方向
Describe a data pipeline or tooling repository you owned from design to deployment
Tell me about a time you made an opinionated architecture call and defended it to a team
How have you evaluated a scientific experiment involving data collection or model performance?
Walk me through a specific pipeline you built using Python, PyTorch, and BigQuery/SQL
Describe how you identified gaps in data sources or benchmark coverage
How do you balance building for real vs. synthetic data across training and evaluation?
相关面试
Cohere
Mid
Forward Deployed Engineer, Agentic Platform
Cohere
Mid
Member of Technical Staff, Applied ML
Cohere
Senior
Data Engineer, Data Foundations
ElevenLabs
Senior
Safety Engineer
Notion
Senior
Software Engineer, Security
Notion
Senior