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Full-Time

Data Scientist

Annotation Contract, Years exp, London UK

Posted on 6/21/2024

Cohere

Cohere

501-1,000 employees

Provides NLP tools and LLMs via API

Data & Analytics
AI & Machine Learning

Senior

London, UK

This role may require occasional work on-site at our Soho office in London, UK.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
SQL
Pandas
NumPy
Data Analysis
HTML/CSS
Requirements
  • 3+ years of industry experience working on real-world data science problems and pipelines
  • Experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others)
  • Ability to use SQL syntax writing and workflows
  • Familiarity with file/data formats such as markdown, json, xml, yaml, html
  • Experience in code reviewing and providing feedback
  • Located in the UK
  • Fast, thorough reader with great comprehension skills
  • Curiosity about ML or AI or LLMs
  • Expert in web-based research skills
  • Ability to follow complex instructions and work independently
Responsibilities
  • Writing or reading/proofreading code and natural language to create samples to train models
  • Labeling, proofreading, and improving machine-written and human-written code
  • Writing new code of exceptional quality for data analytics tasks
  • Varying the style and functionality of code examples
  • Following style guide and making recommendations on unique situations
  • Working with attention to detail and citing sources of information

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their products enable businesses to improve content generation, summarization, and search capabilities. The API gives access to pre-trained models that can perform various tasks, including text classification, sentiment analysis, and semantic search in multiple languages. Cohere's platform is customizable, allowing companies to create tailored solutions that meet their specific needs. Unlike many competitors, Cohere emphasizes affordability and scalability, making their generative AI tools accessible to a wide range of clients globally. The goal of Cohere is to empower businesses with effective AI tools that enhance communication and understanding across different languages.

Company Stage

Series C

Total Funding

$440M

Headquarters

Toronto, Canada

Founded

2019

Growth & Insights
Headcount

6 month growth

23%

1 year growth

59%

2 year growth

352%
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Simplify's Take

What believers are saying

  • Cohere's valuation has more than doubled in a year, indicating strong investor confidence and growth potential.
  • The company's focus on data privacy and security in AI models is a significant advantage in the enterprise sector.
  • Strategic partnerships with major firms like Fujitsu and Cisco enhance Cohere's market reach and technological capabilities.

What critics are saying

  • The competitive landscape in AI is intense, with rivals like OpenAI and Anthropic continuously releasing more powerful models.
  • Skepticism around the return-on-investment for generative AI tools in enterprises could impact Cohere's market adoption.

What makes Cohere unique

  • Cohere focuses on practical AI applications for enterprises, unlike competitors pursuing artificial general intelligence (AGI).
  • The company has secured significant investment from notable firms like Fujitsu, AMD Ventures, and Cisco, highlighting strong financial backing.
  • Cohere's enterprise-specific large language models (LLMs) like Command R and Command R+ are tailored for business needs, setting them apart from more general AI models.

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