Staff Data Analysis & Evaluation - LLM Robustness (Remote)

Cohere; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

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

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Software engineering

Data collection tasks

Statistical methods

Machine Learning (ML)

Programming (Python)

Communication skills

Outils

PyTorch

TensorFlow

JAX

Description du poste

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.