Remote Jobs at Cohere

Candidates should have 15+ years of experience driving revenue growth and leading go-to-market efforts for a technology-focused organization. A proven track record in leading enterprise-level consultative solution sales and business development is required, along with a strong understanding of regional GTM strategy and customer success. Candidates must have experience partnering with consulting firms and enterprise-level clients, along with excellent communication and leadership skills. A well-e…

Candidates should have over 15 years of experience driving revenue growth and leading go-to-market efforts for a technology-focused organization. A proven track record in enterprise-level consultative solution sales and business development in the region is essential, along with a strong understanding of regional go-to-market strategy and customer success. A well-established network of senior-level contacts across sectors is required, as well as excellent communication and leadership skills. Can…

Candidates should have over 15 years of experience in driving revenue growth and leading go-to-market efforts for a technology-focused organization. A proven track record in enterprise-level consultative solution sales and business development in the region is essential, along with a strong understanding of regional GTM strategy and customer success. Applicants should have experience partnering with consulting firms and enterprise clients, possess a well-established network of senior-level conta…

Candidates should possess extremely strong software engineering skills and proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. They should have deep experience in building and leading a product-centric organization, direct experience in building Large Language Models, and a strong track record of creating and curating large-scale datasets. Familiarity with autoregressive sequence models, such as Transformers, and experience using large-scale distrib…

Candidates should possess extremely strong software engineering skills and proficiency in Python along with related machine learning frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA and utilizing large-scale distributed training strategies is essential. Familiarity with autoregressive sequence models, particularly Transformers, is also required. A bonus is having a paper published at top-tier venues such as NeurIPS, ICML, or ACL.

Candidates should have over 5 years of engineering experience managing production infrastructure at scale. Applicants must possess experience in designing highly available distributed systems using Kubernetes and GPU workloads, along with familiarity in Kubernetes development and production support. Proficiency in cloud services such as GCP, Azure, AWS, and hybrid environments is essential. Candidates should also have experience in complex Linux-based computing environments, resource management,…

Candidates should have extremely strong software engineering skills and proficiency in Python along with related ML frameworks such as JAX, Pytorch, and XLA/MLIR. Experience writing kernels for GPUs using CUDA and Triton is required, as well as experience with large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers, is also necessary.

Candidates should possess extremely strong software engineering skills and proficiency in Python along with related ML frameworks such as JAX, Pytorch, and XLA/MLIR. Experience with distributed training infrastructures like Kubernetes and Slurm, as well as large-scale distributed training strategies, is essential. Hands-on experience in training large models at scale and contributing to the tooling or setup of the training infrastructure is also required. A bonus would be having published papers…

Candidates should have at least 3 years of experience in model training, deployment, and maintenance in a production environment. Strong skills in natural language processing (NLP) and deep learning are required, along with experience scaling products at a hyper-growth startup. Excellent written and verbal communication skills are essential, and the ability and willingness to travel up to 25% to client sites is necessary.

Candidates should have prior experience in leading ML teams in applied research and production, along with experience in setting and executing technical direction to build or refine products. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR is required, as well as experience with large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills are necessary, along with a demonstrated passion for applied …

Candidates should have prior experience in leading ML teams in applied research and production. They must have experience in setting and executing technical direction to build or refine products, as well as in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR is required, along with experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solvi…

Candidates should have prior experience in leading ML teams in applied research and production, as well as setting and executing technical direction to build or refine products. Experience working cross-discipline in matrixed organizations is necessary, along with proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Familiarity with large-scale distributed training and inference is required, along with strong mentorship, communication, and problem-so…

Candidates must possess exceptional software engineering skills with a proven track record of building robust and scalable systems. A strong command of Python is required, along with familiarity with popular deep learning frameworks such as JAX, PyTorch, and TensorFlow, particularly their multimodal capabilities. Knowledge of distributed training strategies for large-scale multimodal models is essential, as well as familiarity with autoregressive models for tasks like image captioning and speech…

Candidates should possess a PhD in Computer Science, Machine Learning, or a related field, with a proven track record of publications in top-tier academic conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP. Strong expertise in code LLMs, agents, and related research areas is essential, along with experience in designing and implementing scalable training strategies and agent frameworks. Familiarity with frontier LLMs and state-of-the-art compute infrastructure is also required.

Candidates must possess a Security Clearance, and a strong understanding of public sector environments and customer needs is essential. Experience in technical pre-sales and post-sales, particularly within the enterprise space, is highly desirable, along with the ability to develop deep customer understanding and translate business problems into technical solutions.