Member of Technical Staff, Multilingual

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Natural Language ProcessingIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Data Science, or a related field, with a Master's degree preferred, or equivalent experience. Strong software engineering skills, particularly in Python, are required, along with a solid understanding of data structures, algorithms, and software design principles. Experience analyzing datasets with respect to quality and suitability for training ML models is also necessary. Prior experience with multilingual data and a passion for natural language processing is a plus, and having one or more first-author papers at top-tier venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP is beneficial.

Responsibilities

As a Member of Technical Staff, you will design and implement data pipelines to process and prepare multilingual datasets, collaborating with researchers to understand data requirements and model performance. You will develop tools and scripts to automate data-related tasks and improve efficiency, ensuring data quality and integrity through rigorous testing and validation. Staying updated on the latest advancements in multilingual data processing and contributing to the team's knowledge base are also key responsibilities.

Skills

Data Engineering

Data Collection

Data Cleaning

Data Preparation

Multilingual AI

Python

Machine Learning

Language Modeling

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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