cohere's Posts (57)

2024-07-06

Senior Technical Writer (3 month contract)

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!As a Senior Technical Writer, you will:- Create documentation and guides that make it easy for customers to get started using our products and leverage advanced capabilities- Build, manage, and grow our content library and its distribution on developer platforms with code examples, cookbooks, guides and tutorials - Dive deep into the product and collaborate with ML and Engineering to make our platform more approachable to new users- Collaborate with the team to plan technical content for major product releases and eventsYou may be a good fit if:- You have 5+ years of direct professional experience in technical writing- You're comfortable owning the documentation experience from concept through to publish and enjoy taking projects from 0 to 1- Experience with building and enforcing information architecture- You're comfortable taking on projects beyond docs when appropriate- You have a technical background and are code literate. You must be comfortable with at least one of the following: Python, JavaScript, or Go- Background as a developer or data scientist a big plus- You care about the LLM field and enhancing our users experience with great documentation- Excellent people and management skills to interact with staff, colleagues, cross-functional teams, and third parties- You're comfortable with ambiguity and documenting nascent feature offerings- You have experience or interest in ML, Data Science, or NLP technologies 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.Our 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 vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: New York / Toronto

Salary range: None - None

2024-07-06

Annotation Operations Lead - Code

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?The Annotation Operations Lead - Code is responsible for building and managing Cohere’s team of annotators who develop and deliver high-quality training data critical to the development of Cohere's code capabilities. You will join a small and effective team who orchestrate Cohere’s human data collection efforts. Your day-to-day will include helping stakeholders translate their data needs into annotation projects, running daily stand ups and being the on-the-ground support for the annotators, reviewing data, and iterating on projects and processes to improve the way we run this program. As an Operations Lead you will:Scale the code teams annotation output while improving quality and effectiveness of their workPartner with internal stakeholders to decide on staffing and hiring strategy to meet roadmap requirements, as well as work with external vendors to enrich our data pipeline as neededTest-iterate regularly by running pilots and experiments, and stay up-to-date on industry trends and best practicesOwn individual and team-wide performance management of our code generation annotators, including partnering with the Data Ops team to continuously improve our performance management KPIs, plans, and processesRun and develop onboarding for new code generation annotators, as well as identifying opportunities and tools for ongoing education to up-skill, coach, and improve the team You might be a good fit if you:Have experience leading a nimble team or a complex project group with great results in a tech-focused roleAre proficient in Python, one of C++/Java/Compiled language, and SQLHave at least 2+ years of experience in a hands-on coding role Thrive off collaboration with a multifaceted cross-functional teamHave strong writing and editing skillsHave the grit to navigate a fast-paced startup environment with changing priorities Enjoy coaching teammates and solving complex problemsPreferred: London-based candidates, who are ready to spend a few days a week in our Soho office with our Annotator team 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.Our 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 vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: London / Germany / France

Salary range: None - None

2024-07-06

Manager of Technical Staff, Search

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?We are looking for talented individual to help us lead a team within our Search org that develops state-of-the-art models for information retrieval. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past. As a Manager of Technical Staff on this team, you will:Partner with our Product and Leadership teams, defining project requirements, timelines, and deliverables. Collaborate cross-functionally with our platform, biz, sales, and marketing teams.Design, train and improve upon cutting-edge search models.Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.Work closely with model serving team to ensure that inference is fast and stable.Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats! You may be a good fit if you have:Lead and managed teams of highly technical engineers and researchers. Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience training representation models, or using text embeddings in downstream tasks.Familiarity with various information retrieval techniques, such as lexical search and dense vector search.Familiarity with autoregressive sequence models, such as Transformers.Strong communication and problem-solving skills.Bonus points for:Proficiency in other programming languages, such as C++ or Golang.Experience using large-scale distributed training strategies with GPUs.* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. 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.Our 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 vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: Toronto / London

Salary range: None - None

2024-07-06

Data Annotator - Advanced Math

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 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 the 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?We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. This role will have you focus on math, logic and reasoning. You will teach the Cohere model how to perform across a variety of different functions and logic.Please Note: This is a part-time contract position. We are looking for candidates who are able to commit to 20 hours per week at a $30/hour contract rate (commensurate with experience). This role is BYOD 💻 - Bring Your Own Device (laptop). Once training is completed, this role is hybrid. Performance incentives included! As a Senior Data Quality Specialist in Math, you will:Label, rank, audit, and correct machine learning data with a focus on math-related content.Complete reading or math-based tasks in an efficient and attentive manner. Complete preference-based tasks to evaluate which responses best follow our style guide.Recommend optimization opportunities. Provide feedback to cross-functional team members. Maintain close attention to detail, while performing repetitive and precise tasks. You may be a good fit if you have:Subject matter expertise in mathematics (advanced, university level) - you have both studied in these fields and have practical experience applying them in a workplace.Strong reading and writing skills - which you are ready to prove on our written test.Deep attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! High tolerance for repetitive and monotonous work.Ability to follow complex instructions, navigate ambiguity and work independently.Superb sense of urgency and time management.A reliable laptop to work from. The Candidate Journey:Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.Virtual Meet & Greet - If selected to move forward, you will have a short video call with a member of our Annotation Army!Practical Assessment - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.Offer - Independent Contractor Agreement. Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, including explicit, offensive, or other inappropriate material.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.Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives

Location: Toronto / United States

Salary range: None - None

2024-07-06

Member of Technical Staff, Search

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?We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team. This group is working on a range of tasks including generating useful dense vectors and reranking. You'll have the opportunity to revolutionise people's search experience by contributing to building an efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas.Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of technologies and collaborating with other teams to integrate your work into our search infrastructure.We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.Please note: we have offices in Toronto, Palo Alto, San Francisco, and London but embrace being a remote-first company! There are no restrictions on where can you be located for this role. As a Member of Technical Staff on this team, you will:Design, train and improve upon cutting-edge search models.Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.Work closely with model serving team to ensure that inference is fast and stable.Collaborate with product teams to develop solutions.Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats! You may be a good fit if you have:Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience training representation models, or using text embeddings in downstream tasks.Familiarity with various information retrieval techniques, such as lexical search and dense vector search.Familiarity with autoregressive sequence models, such as Transformers.Strong communication and problem-solving skills.Bonus points for:Proficiency in other programming languages, such as C++ or Golang.Experience using large-scale distributed training strategies with GPUs.* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. 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.Our 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 vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: London / United States / Barcelona

Salary range: None - None

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