It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges.

Contract: Copywriter – Web & Digital

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!

In order to be considered for this contract role you must submit a portfolio or website link to your portfolio and/or any other relevant links to your work in your resume. Please provide viewable links and/or access instructions.

In this contract role you will:

• Write and edit web copy, including product pages, promotions, and UI content, optimized for B2B customer journeys
• Collaborate with cross-functional teams to ensure all copy aligns with our brand voice and drives engagement across all touchpoints
• Contribute to an editorial calendar that supports product launches, promotions, and other key initiatives
• Collaborate with internal teams and external partners to deliver content on time and aligned with business objectives
• Ensure consistency in brand voice and tone across all digital content

This contract career opportunity may be a good match for you if you have:

• 7+ years of experience in writing, editorial, marketing, UX writing, content design, or related experience, as well as experience leading content strategy projects
• Must have strong Web/Digital Copywriting experiences at a B2B SaaS/Software/Tech company
• Bachelor degree in English, Journalism, Communication, Literature, Business, Marketing, a related field, or equivalent practical experience
• Experience producing exceptional digital copywriting & shaping content for multi-disciplinary projects
• Proven experience using your gift for language to design intuitive & delightful marketing experiences that help users accomplish their goals
• Experiences as a content strategist, defining brand vision and narratives across multiple platforms and touch points

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.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

Research Internship

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.
Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.

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.

You may be a good fit if you:

• 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.

Preferred Qualifications:

• 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.

Member of Technical Staff, MLE

As an AI Engineer (a Member of Technical Staff role on our Forward Deployed team) you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.

You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

In this role, you will:

• Own and build large new areas within our product.
• Work across backend, frontend, and customize Large Language Models.
• Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.
• Work across the entire product lifecycle from conceptualization through production.

This career opportunity may be a good match for you if you have:

• 3+ years of model training, deployment, and maintenance in a production environment.
• Strong skills in NLP and deep learning.
• Experience scaling products at hyper-growth startup.
• Strong written and verbal communication skills.
• Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

• Experience improving LLM performance for custom domains via fine tuning or RLHF.
• Experience in Information Retrieval systems for document question answering.
• Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).
• Published research in areas of machine learning at major conferences and/or journals.

Technical Governance and Responsible AI Researcher, Cohere For AI

Cohere For AI is a state-of-the-art research lab that sets progress at the frontier of machine learning. We have a proven track record of top-tier publications and a commitment to cross-institutional high-impact collaboration. Learn more about our work here.

In addition to fundamental research, we contribute technical perspectives on questions at the core of AI development. This involves combining tools across fields, such as computer science economics and deep learning, to provide rigorous landscape analysis on open questions about responsible development in AI. The goal of this role is to help cultivate a better understanding of AI futures, and to support effective AI policy.

Our team works to provide a technically grounded perspective to shape advanced recommendations for the governance of artificial intelligence, informing how we can improve risk identification and mitigation throughout the model development and deployment lifecycle.

Please Note: We have offices in Toronto, San Francisco, New York, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a technical governance researcher, some of your core responsibilities will include:

• Executing on technical governance research, contributing to reports that provide technical perspectives on the state of AI.
• Run and analyze scientific experiments to advance our understanding of large language models and the ecosystem which large language models exist in.
• Build models, collect data and interpret results about specific aspects relating to the the state of AI, including varied questions like: inference time compute, traceability of open weights and watermarking, parsing evidence to-date to motivate prioritization of risks.
• Launch initiatives to steward public awareness of AI capabilities and their limitations through whitepapers, guides, workshops, gatherings, and courses.
• Communicate scientific findings with a wide audience that includes policymakers.

Some examples of past technical governance projects that have come out of Cohere For AI:

• Understanding of the viability of compute thresholds
• Assessing AI Biorisk – An evidence based assessement on prioritization of Biorisk
• Policy Primer – The AI Language Gap
• Open Problems in Technical AI Governance
• The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

You may be a good fit if you have:

• Technical contributions to governance topics, evidencing rigour and thorough evaluation.
• Executed experiments with rigour and have a strong scientific background. This role will require comfort in translating technical concepts into policy recommendations and discussing technical concepts with a general audience.
• An understanding of global public policy issues particularly with respect to AI policy.
• Ability to identify and analyze public policy developments, put them into context and identify scientific problems underlying policy discourse.
• Computer science degree, economics degree or equivalent technical experience.