Research Scholar, Cohere
More information about location
Natural language processing AI platform
Be an early applicant
Natural language processing AI platform
501-1000 employees
Be an early applicant
More information about location
501-1000 employees
Company mission
To build machines that understand the world, and to make them safely accessible to all.
Role
Who you are
- 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
- 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 iteration and failure
What the job involves
- 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
- Cohere Labs is the dedicated research arm of Cohere. The Cohere Labs 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 Labs Scholars Program is an 8-month, full-time research apprenticeship
- The Scholars Program runs from January 12 - August 29, 2026
- 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 AI problems at scale, including efficiency, multilingual, safety, and more
- 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
- 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
Application process
- The application deadline is August 29 at 11:00 PM Mountain Standard Time. Late applications will not be considered
Our take
The AI industry biggest stakeholders insist that the next step in enhancing web experiences will be through natural language interactions. While this may be true, only companies with considerable resources can reasonably address the gap needed to bring NLP to the forefront of web integration. Cohere was founded to address this shortfall between NLP development, widespread usage, and the resources required.
Cohere works on building top-of-the-class NLP processing models and software which it makes available to customers through APIs and custom solutions. In a strategic move, the company has partnered with Google Cloud, giving them access to resources that will undoubtedly push the field of NLP forward. This allows Cohere to serve as middlemen by offering a wide range of customers a product built on unmatched technology.
AI is currently a worldwide talking point and so it is no surprise that Cohere has seen rapid development, and raised $270M in a 2023 funding round. The company plans to introduce a dialogue model that would resemble ChatGPT, however, in this case, its technology would be mainly accessible to developers and businesses.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$500m
SERIES D
Mar 2023
$270m
SERIES C
Total funding: $940m
Company benefits
- We cover 100% of premiums across health, dental, vision & travel
- We offer RRSP, 401K, and Pension Scheme contributions
- We offer lunch and fitness studio credits and a quality time fund which can be spent on things like dog walking and laundry services
- We want everyone who contributes to our success to get a ‘piece of the pie’
- Work Remote & PTO
- We know that some people work better at home, so we are remote-first, and sure that all meetings, events, and opportunities are set up for our distributed team
- Every employee at Cohere gets 6 weeks of paid time off & US and Canadian federal holidays, and we provide unlimited sick days
- All new parents (including those who adopt or go through a surrogate journey) are eligible to receive 100% salary for 6 months in Canada, the US, and the UK
- The decision and journey to having kids is different for each person and family. Part of our commitment to diversity is being able to support the widest variety of these scenarios as we can so we offer financial support for egg freezing and IVF for those in the US, Canada and the UK
- Every employee at Cohere receives an annual $2,000 education fund to use as they please
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(CEO)Has a PhD in Computer Science from Oxford University. Previously worked as a Researcher at Google (Brain) and FOR.ai
Ivan Zhang
(CTO)Previous experience working in research and engineering at For.ai, Cortex labs, Pressly and Ranomics.
Nick Frosst
(CTO)Previously worked as a Research Engineer at Google (Brain).
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