Staff Engineer, Safety for AI Agents

Cohere; Toronto; On-site; CAD 100,000 - 150,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

Personal enrichment benefits

Remote-flexible work environments

6 weeks of vacation

Job summary

A leading AI technology firm in Toronto seeks a Member of Technical Staff to enhance Large Language Models (LLMs). The role involves developing safe and trustworthy models while collaborating closely with cross-functional teams. Strong statistical and engineering skills, particularly in data generation and analysis, are needed. Candidates with experience in training LLMs and a background in publications are encouraged to apply. This full-time role offers a dynamic work environment embracing remote flexibility.

Qualifications

• Strong experience evaluating scientific experiments related to model performance.
• Extremely strong software engineering skills required.
• Hands-on experience training large language models on distributed infrastructures.

Responsibilities

• Develop better, trustworthy, and secure Large Language Models.
• Focus on data generation, post-training algorithms, and evaluation methods.
• Collaborate with machine learning teams and data annotation teams.

Skills

Strong statistical skills

Strong software engineering skills

Experience in data collection tasks

Analyzing datasets quality

Training large language models

Evaluating ML system robustness

Proficiency in Python

Excellent communication skills

Publication in top-tier venues

Tools

PyTorch

TensorFlow

JAX

Job description

A leading AI technology firm in Toronto seeks a Member of Technical Staff to enhance Large Language Models (LLMs). The role involves developing safe and trustworthy models while collaborating closely with cross-functional teams. Strong statistical and engineering skills, particularly in data generation and analysis, are needed. Candidates with experience in training LLMs and a background in publications are encouraged to apply. This full-time role offers a dynamic work environment embracing remote flexibility.