Research Scholar
Location
Description
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
Cohere For AI is the dedicated research arm of Cohere. The Cohere For AI research lab seeks to solve complex machine learning problems by supporting fundamental research that explores the unknown. We are focused on creating more points of entry into machine learning research because we believe technology is powerful, and empowering different perspectives ensures responsible innovation.
The Cohere For AI Scholars Program is an 6-month, full-time research apprenticeship. The Scholars Program runs from January 6 - July 11, 2025. This program pairs aspiring machine learning researchers with an outstanding engineering team to collaborate on innovative machine learning research projects. The majority of our scholar projects this year focus on NLP problems at scale, ranging from questions about efficiency, generalization, responsible AI and data quality. Scholars will have the support of an experienced research team and access to cutting-edge AI technology as they contribute to projects at the forefront of machine learning research.
We encourage applications from a wide range of backgrounds, regardless of previous academic experience. We will accept scholars who have previously published as we want to provide opportunities for aspiring researchers who face great obstacles in entering the field of machine learning.
Still have questions? Check out our FAQ Document and come to our Scholars Program Information Session on August 16th at 11 am ET - Add to your calendar here.
Please note: This is a remote position. Cohere For AI is a remote-friendly team, currently collaborating across 9+ countries. We do not require or provide relocation for this role, nor are we able to sponsor visas for the duration of the program.
Application deadline: Please submit your application by 6:00 PM PDT, August 30th, 2024.
- Collaborate with the Cohere engineering team on machine learning and natural language processing research projects, with the goal of releasing published papers or open source code.
- Contribute to the advancement of meaningful scholarship in the machine learning and natural language processing space
- Throw yourself into the world of frontier AI problems. Push yourself and your research skills to new levels.
- You have a strong engineering background, as demonstrated by regular contributions to open source projects, past work experience, or a portfolio
- You are passionate about open ended problems
- Strong communication and problem-solving skills
- You have grit and are comfortable pushing through interation and failure.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
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Job type:
Remote job
Tags
- training
- support
- content
- engineering
- recruitment
- full-time