Member of Technical Staff, Data Analysis and Evaluation

The role

You will design and conduct data collection tasks and evaluate dataset quality. You will also analyze the robustness and generalisability of large language models.

What you will do

• Design and oversee data collection tasks, including supporting human annotators and ensuring data quality.
• Develop and apply statistical methods to evaluate the quality and reliability of datasets.
• Analyse and assess the generalisability and robustness of ML systems across diverse use cases.
• Collaborate with teams to improve dataset quality and model performance.
• Train and fine-tune large language models (LLMs) on distributed training infrastructures.
• Conduct experiments to evaluate model performance and identify areas for improvement.

Required qualifications

• Extremely strong software engineering skills.
• Strong expertise in designing and conducting data collection tasks, including working with human annotators.
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
• Experience analysing datasets with respect to their quality, biases, and suitability for training ML models.
• Hands-on experience training large language models (LLMs) on distributed training infrastructures.
• Familiarity with evaluating and improving the generalisability and robustness of ML systems.
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
• One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Benefits

• Weekly lunch stipend of $75/£75 or equivalent.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• Education & learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days!).
• Budget for traveling to other offices if you are remote, plus an annual company offsite.
• Daily lunch program, snacks, and regular community and social events for those in the office.
• Co-working benefit for those not near an office.
• A $500 home office stipend.

Before you apply

• May use AI-enabled tools to screen and assess applicants.

About the company

Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.