About the job
About Us
At Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.
We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.
Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.
Join us on this exciting journey and help shape the future of AI!
Why this role matters
As a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.
Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.
Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.
As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:
Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.
Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.
Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.
Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.
