Cohere
Member of Technical Staff, Search at Cohere
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Member of Technical Staff, Search
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Cohere . 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. 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 training our embedding and reranker models. You will have the opportunity to revolutionise people\'s search experience by contributing to building an intelligent, 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 novel 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 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 the 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. Familiarity with training and using various information retrieval models. Experience leveraging Large Language Models as part of training data or evaluation pipelines. Strong communication and problem-solving skills. Bonus Points For Experience building training and/or evaluation datasets for practical use cases. Proficiency in other programming languages, such as C++ or Golang. Experience using large-scale distributed training strategies with GPUs. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, 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, London and Paris, as well as a co-working stipend 6 weeks of vacation Note: This post is co-authored by both Cohere humans and Cohere technology. EEO statement
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.
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Join to apply for the
Member of Technical Staff, Search
role at
Cohere . 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. 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 training our embedding and reranker models. You will have the opportunity to revolutionise people\'s search experience by contributing to building an intelligent, 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 novel 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 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 the 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. Familiarity with training and using various information retrieval models. Experience leveraging Large Language Models as part of training data or evaluation pipelines. Strong communication and problem-solving skills. Bonus Points For Experience building training and/or evaluation datasets for practical use cases. Proficiency in other programming languages, such as C++ or Golang. Experience using large-scale distributed training strategies with GPUs. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, 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, London and Paris, as well as a co-working stipend 6 weeks of vacation Note: This post is co-authored by both Cohere humans and Cohere technology. EEO statement
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.
#J-18808-Ljbffr