Cohere

Cohere is seeking a Machine Learning Engineer specializing in pretraining data to develop data pipelines for their advanced language models. The role involves conducting data ablations, evaluating data quality, and constructing pre-training data mixtures to enhance model performance, directly contributing to improvements in training metrics like throughput and accelerator utilization.

Cohere is seeking a Member of Technical Staff for their Search team to develop and improve state-of-the-art models for information retrieval, focusing on training embedding and reranker models. The role involves gathering and optimizing retrieval datasets, collaborating with serving and product teams, and engaging in research collaborations with a focus on publishing work.

Cohere is seeking a Member of Technical Staff, Training Infra Engineer to design and write high-performant and scalable software for model training. This role will improve training setup, craft tools to speed up training cycles, and research/implement ideas on supercompute and data infrastructure. The ideal candidate has strong software engineering skills, proficiency in Python and ML frameworks like JAX/PyTorch, and experience with distributed training infrastructures and large-scale distributed training strategies.

Cohere is seeking a Data Engineer to work on foundational infrastructure for AI systems, including storage, product launches, and customer experiences. The role involves collaborating with researchers and engineers, running implementations end-to-end, and partnering across departments to define growth strategies. The ideal candidate has 5+ years of experience in production-grade data processing systems, strong Python and SQL skills, and experience with distributed data processing frameworks.

Cohere is seeking a Member of Technical Staff, Data Analysis and Evaluation, to ensure the quality, reliability, and performance of their LLMs. The role involves designing data collection tasks, evaluating dataset quality, analyzing model robustness and generalizability, and collaborating with cross-functional teams. Responsibilities include overseeing data collection, developing statistical methods for dataset evaluation, analyzing ML system generalizability, improving dataset quality and model performance, training LLMs, and conducting experiments.

Cohere is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline for their advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and model evaluation. The engineer will work with diverse web and code data, transforming it using generative models to improve token efficiency and model quality, bridging research and engineering to enhance training metrics like throughput and accelerator utilization.

Software Engineer on the internal infrastructure team responsible for building and operating Kubernetes GPU superclusters across multiple clouds to support AI workloads for training foundational models. This role involves partnering with cloud providers, designing scalable systems, and ensuring stability and efficiency for research teams.

This role focuses on data annotation and evaluation for AI models, specifically breaking down engineering procedures into steps for the model to learn and complete. The specialist will task models, verify accuracy, and label/proofread outputs, requiring a background in engineering fields.

The role involves labeling, ranking, auditing, and correcting text data in Modern Standard Arabic (MSA) to improve the performance of Large Language Models. It requires native or near-native proficiency in MSA, excellent English, basic data manipulation skills, and strong attention to detail. This is a part-time, remote, independent contractor position.

The role involves data annotation, labeling, and ranking for Arabic language (Najdi/Hijazi dialect) to improve Large Language Model performance. This is a part-time, independent contractor position requiring native or near-native Arabic proficiency and good English command, with a focus on data integrity and quality.

Cohere is seeking a part-time Data Annotation Specialist with native or near-native Portuguese proficiency to label, rank, audit, and correct machine learning data. This role is crucial for improving the performance of Large Language Models and requires strong attention to detail, data manipulation skills, and the ability to follow complex instructions. The position is a 12-month independent contractor role within Canada, requiring a minimum of 16 hours per week.

Cohere is seeking a Data Annotation Specialist with native or near-native Japanese proficiency to label, rank, audit, and correct machine learning data. This role is crucial for improving the performance of Large Language Models by ensuring data quality and accuracy. The position is a part-time, remote, independent contractor role within Canada, requiring a minimum of 16 hours per week.

This role focuses on data annotation, labeling, ranking, auditing, and correcting text output in Chinese to improve Large Language Model performance. It involves basic data manipulation and preference-based tasks, with a focus on data quality and accuracy. The role is part-time, remote, and contract-based.

Cohere is seeking a Data Annotation Specialist with native or near-native German proficiency to label, rank, audit, and correct machine learning data. This part-time, remote, independent contractor role involves improving LLM performance through meticulous data handling and feedback, with a focus on German language tasks. Requires basic data manipulation skills and a high tolerance for repetitive work.