Member of Technical Staff, Data Analysis and Evaluation

🕒 March 18

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

📉 Data Analyst

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• 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.

🎯 Requirements

• 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

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London, and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)