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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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    Cohere
    Remote, United States
    Found 1 month ago
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Research Internship

Cohere
Found 1 month ago
Location
Remote, United States
Duration (Months)
5 Months
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • Machine Learning
  • NLP
  • Artificial Intelligence
  • large language models
  • language modelling
  • evaluation
  • multimodal models
  • optimisation
  • large-scale distributed training strategies
  • data annotation
  • evaluation pipelines
  • ML models
  • autoregressive sequence models
  • Transformers
  • Python
  • C
  • C++
  • Lua
  • JAX
  • Pytorch
  • Tensorflow
  • machine learning
  • deep learning
  • NLP models
  • computer vision
  • optimization
  • computer science
  • statistics
  • applied mathematics
  • data science

Soft Skills

  • communication
  • problem-solving skills
  • passion for applied NLP models and products
  • analytical problems

Job Description

To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.

Requirements

  • currently pursuing a PhD in Machine Learning, NLP, or a related discipline
  • available for a full-time internship that lasts for 4-6 months
  • Conduct cutting-edge machine learning research, building and training large language models
  • Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc
  • Disseminate your research results through the production of publications, datasets, and code
  • Contribute to research initiatives that have practical applications in Cohere’s product development
  • Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline
  • We will also consider exceptional non-PhD candidates
  • Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period
  • Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models
  • Are familiar with autoregressive sequence models, such as Transformers
  • Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly
  • Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages
  • Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow
  • Have previous experience in building systems based on machine learning and deep learning techniques
  • Demonstrate passion for applied NLP models and products
  • Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Proven ability to tackle analytical problems using quantitative methodologies
  • Proficiency in handling and analysing complex, high-dimensional data from various sources
  • Experience in applying theoretical and empirical research to real-world problem-solving

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Nice to Haves

  • publications in top tier venues
  • handling and analysing complex, high-dimensional data from various sources
  • applying theoretical and empirical research to real-world problem-solving
▶Apply Now

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