Member of Technical Staff, Search
Cohere- Full Time
- Junior (1 to 2 years)
Candidates should possess 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets, and demonstrate experience running and optimizing models offline at large scale. Strong data modeling skills and experience with data curation, proficiency in model finetuning and optimization for data preprocessing, and solid knowledge of at least one machine learning framework (e.g., PyTorch, JAX, TensorFlow) are required. Furthermore, candidates must have very strong programming skills and the ability to write clean and maintainable code, along with a deep interest in building human-in-the-loop systems for creativity and the ability to rapidly prototype solutions and iterate on them with tight product deadlines.
The Member of Technical Staff, Dataset Engineering will develop and maintain large-scale, multimodal datasets for training and evaluating models, optimize models for data preprocessing tasks, create and run evaluations and benchmark analyses for datasets and models, implement fast iteration cycles and feedback loops to continuously improve model datasets, and work with a world-class research team to push the boundaries of content creation. They will also evaluate new datasets and models for upstream data tasks that feed into Runway’s products.
Finance platform for business modeling and planning
Runway offers a finance platform that simplifies business modeling, planning, and alignment for companies of all sizes. It operates on a subscription-based model, providing features like automated data integration, simplified financial modeling, and detailed reporting, all through a user-friendly interface. What makes Runway different is its focus on creating an enjoyable user experience and the ability to use human-readable formulas. The goal of Runway is to empower businesses to make informed financial decisions through effective collaboration.