cohere's Posts (57)

2024-07-06 cohere

Solutions Architect, Azure

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 seeking a Solutions Architect to support the technical GTM relationship of our cutting-edge Large Language Models (LLM) on Azure.  As a Solution Architect supporting our technical GTM relationship on Azure, you will be responsible for supporting the solutioning and enablement of Cohere models on different Microsoft Azure services. In this role, you will:Strategic Partnership Collaboration: Forge strong technical relationships with Microsoft Azure sellers understanding their customers business problems and technological needs to architect solutions that drive significant value.Support Technical Engagements: Listen attentively to Microsoft Azure customer challenges, by leading the technical dialogue and showcasing the unique differentiators of Cohere's AI solutions.Innovative Solution Development: Dive deep into customer issues, applying your knowledge of Cohere to build impactful PoCs and demos for customers.Facilitate Customer Evaluations: Guide customers through evaluations and PoCs, demonstrating the value of Cohere’s products by achieving predefined success criteria.Cross-Functional Team Leadership: Work with Cohere's Product and Engineering teams as the voice of the customer to provide valuable feedback, ensuring product roadmaps meet and anticipate the evolving needs of our customers. This career opportunity is a good match for you if you have the following:Microsoft Azure Experience: Proven experience forging GTM strategies with or at Microsoft Azure, showcasing a knack for collaborative success.Customer Engagement: 5+ years in customer-facing roles, including Solutions Architect or Sales Engineer, with a focus on GTM in pre/post-sales settings.GTM Strategy Expertise: 5+ years dedicated to developing and executing GTM strategies for enterprise products, demonstrating a track record of successful partnership management.Solution Architecture Proficiency: 5+ years of experience in architecting and implementing technical solutions within complex enterprise environments.Technical Mastery: Advanced data science or AI/ML, proficiency in Python and Jupyter Notebooks, capable of rapid prototyping and presenting complex proof of concepts with ease.Business Insight: Exceptional understanding of business dynamics, adept at accelerating the adoption of highly technical solutions through strategic insights.Communication Excellence: The ability to deeply understand business problems shifting seamlessly between executive-level presentations and technical discovery with customers.Ability to Rapidly Learn: A continuous learner with a proven ability to adapt to and leverage emerging technologies, keeping at the forefront of AI innovation.Adaptability & Proactivity: A proactive approach to ambiguity, excelling in dynamic environments by building processes and mechanism to scale success throughout the organization What could set you apart:Advanced AI, NLP, and LLM Knowledge: A strong understanding of AI, natural language processing, and large language models, using this knowledge to create innovative solutions that solve enterprise problems. 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: San Francisco

Salary range: None - None

2024-07-06 cohere

Member of Technical Staff, Modeling

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? Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will:Design, build and scale AI systems for serving our users.Research, implement, and experiment with ideas on our supercompute and data infrastructure.Learn from and work with the best researchers in the field. You may be a good fit if you have:Extremely strong software engineering skills.Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience writing kernels for GPUs using CUDA.Experience using large-scale distributed training strategies.Familiarity with autoregressive sequence models, such as Transformers.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).* 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: San Francisco / Toronto / London / New York / France / Remote UK / Germany

Salary range: None - None

2024-07-06 cohere

Research Internship

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?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. 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 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacation

Location: United States / London / Toronto / New York / San Francisco

Salary range: None - None

2024-07-06 cohere

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

2024-07-06 cohere

Member of Technical Staff, Model Efficiency

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?Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The model efficiency team is responsible for increasing the inference efficiency of our foundation models by improving model architecture and optimizing ML frameworks. As an engineer on this team, you’ll work on improving the key model serving metrics including latency and throughput by profiling the system, identifying bottlenecks, and solving problems with innovative solutions.Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. You may be a good fit for the Model Efficiency team if you have: Significant experience in developing high-performance machine learning algorithms or machine learning infrastructureHands-on experience with large language models Bias for actions and resultsAn appetite to solve challenging machine learning research problems It is a big plus if you also have considerable experience with one of these areas:Model compression techniques: quantization, pruning, sparsity, low-rank compression, knowledge distillation, etc.GPU/Accelerator programming or high-performance computingLLM Inference performance modelingMachine learning framework internals 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 / Seattle / New York / San Francisco

Salary range: None - None

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