You need proficiency in Python, ML frameworks, training representation models, info retrieval techniques, autoregressive sequence models, strong communication skills, and bonus points for C++/Golang proficiency and large-scale distributed training experience.

You will design search models, optimize data pipelines, collaborate with teams, conduct research, and have a strong ownership mindset at Cohere.

Software Engineering

United Kingdom

London

Medium

Cohere provides unprecedented access to affordable, easy-to-deploy large language models. Our platform gives computers the ability to read and write - whether you want to better understand what your customers are saying, or you want to write compelling copy that speaks to your target audience, Cohere can help.

Technology

Cohere

At Cohere, our mission is to build machines that understand the world, and to make them safely accessible to all.


<ul><li>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.</li><li>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</li><li>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.</li></ul>As a Member of Technical Staff on this team, you will:<ul><li class="ql-indent-1">Design, train and improve upon cutting-edge search models.</li><li class="ql-indent-1">Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.</li><li class="ql-indent-1">Work closely with model serving team to ensure that inference is fast and stable.</li><li class="ql-indent-1">Collaborate with product teams to develop solutions.</li><li class="ql-indent-1">Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.</li><li class="ql-indent-1">Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!</li></ul>You may be a good fit if you have:<ul><li class="ql-indent-1">Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.</li><li class="ql-indent-1">Experience training representation models, or using text embeddings in downstream tasks.</li><li class="ql-indent-1">Familiarity with various information retrieval techniques, such as lexical search and dense vector search.</li><li class="ql-indent-1">Familiarity with autoregressive sequence models, such as Transformers.</li><li class="ql-indent-1">Strong communication and problem-solving skills.</li></ul>Bonus points for:<ul><li class="ql-indent-1">Proficiency in other programming languages, such as C++ or Golang.</li><li class="ql-indent-1">Experience using large-scale distributed training strategies with GPUs.</li></ul>

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 infrastructureWe'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 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.

Member of Technical Staff, Search

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Cohere

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