[Remote] Member of Technical Staff, Data Analysis and Evaluation at Cohere

London, England, United Kingdom

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Data ScienceIndustries

Skills

Key technologies and capabilities for this role

Data AnalysisEvaluationStatisticsExperimental DesignMachine LearningData CollectionModel RobustnessModel GeneralisabilityData Quality Assessment

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for this position?

Required skills include extremely strong software engineering, strong statistical skills, expertise in designing data collection tasks with human annotators, experience analyzing datasets for quality and biases, hands-on experience training LLMs on distributed infrastructures, and proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX.

What is the company culture like at Cohere?

Cohere values diversity as a requirement for building great products and consists of a team of passionate researchers, engineers, designers, and more, each being one of the best in their craft.

What makes a strong candidate for this role?

Strong candidates have expertise in statistics, experimental design with human annotators, machine learning, software engineering, and publications at top-tier venues like NeurIPS or ICML; however, applications are encouraged even if not all criteria are met, especially from diverse backgrounds.

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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