Logo of Huzzle

Home

Matches

Explore

Manage

Research Internship

image

Cohere

Aug 24

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Toronto

Requirements

  • Here are the job requirements extracted from the posting:
  • 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.

Responsibilities

  • As a Cohere Research Intern, you will:
  • 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.

FAQs

What is the duration of the Research Internship?

The internship lasts for 4-6 months.

What educational background is required for this internship?

You must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline, although exceptional non-PhD candidates may also be considered.

Is prior experience in machine learning necessary for this position?

Yes, prior experience in using large-scale distributed training strategies, implementing state-of-the-art ML models, and building systems based on machine learning and deep learning techniques is required.

What programming languages should I be familiar with?

You should have knowledge of programming languages such as Python, C, C++, Lua, or related languages.

Are there specific ML frameworks I should be knowledgeable about?

Yes, familiarity with frameworks such as JAX, PyTorch, and TensorFlow is preferred.

Will I have opportunities to publish my research?

Yes, you are expected to disseminate your research results through the production of publications, datasets, and code.

Is there a focus on specific research areas within the internship?

Yes, you can work on projects related to base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, among other areas.

What skills are important for this research internship?

Strong communication and problem-solving skills, as well as the ability to convey complex research findings clearly and succinctly, are important.

Are there any benefits provided during the internship?

Yes, interns receive free daily lunch, full health and dental benefits, personal enrichment benefits, and a remote-flexible work environment, among other perks.

How does Cohere ensure an inclusive work environment?

Cohere celebrates diversity and strives to create an inclusive work environment, welcoming applicants from all backgrounds and providing equal opportunities.

image

Cohere

At Cohere, our mission is to build machines that understand the world, and to make them safely accessible to all.

Technology
Industry
51-200
Employees
2019
Founded Year

Mission & Purpose

Cohere provides unprecedented access to affordable, easy-to-deploy large language models. Our platform gives computers the ability to read and write - whether you want to better understand what your customers are saying, or you want to write compelling copy that speaks to your target audience, Cohere can help.