Staff Data Analysis & Evaluation - LLM Robustness (Remote)

Cohere

Paris

On-site

EUR 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Inclusive culture
Weekly lunch stipend
Full health and dental benefits
Parental leave top-up
Annual enrichment benefits
Remote-flexible work
30 days paid vacation
Home office stipend

Job summary

Cohere is looking for a Member of Technical Staff in Data Analysis and Evaluation to enhance the quality and performance of our large language models. You will design data collection tasks and evaluate dataset quality while collaborating with researchers and engineers.

This position is remote-friendly, allowing you to work from various locations. Join us in advancing AI technology!

Our team values diversity and fosters an inclusive work environment.

Qualifications

  • Extremely strong software engineering skills.
  • Strong expertise in designing data collection tasks.
  • Strong statistical skills for evaluating experiments.
  • Experience analyzing datasets for training ML models.
  • Hands-on experience training large language models.
  • Familiarity with evaluating ML systems.

Responsibilities

  • Design and oversee data collection tasks.
  • Develop and apply statistical methods for data evaluation.
  • Analyse and assess the robustness of ML systems.
  • Collaborate with teams to improve dataset quality.
  • Conduct experiments for model performance evaluation.

Skills

Software engineering
Data collection tasks
Statistical methods
Machine Learning (ML)
Programming (Python)
Communication skills

Tools

PyTorch
TensorFlow
JAX

Job description

Cohere is looking for a Member of Technical Staff in Data Analysis and Evaluation to enhance the quality and performance of our large language models. You will design data collection tasks and evaluate dataset quality while collaborating with researchers and engineers.

This position is remote-friendly, allowing you to work from various locations. Join us in advancing AI technology!

Our team values diversity and fosters an inclusive work environment.

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