Full-time | Remote with trips to Silicon Valley office | Reports to Founders Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
Experiment with novel language model architectures, helping drive and execute Fastino’s research roadmap Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Partner with Fastino engineering team to ship model updates directly to customers Required – Great velocity for building and shipping agents / AI products. Optional – Advanced degree (Master’s or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional – Demonstrated ability to do independent research in Academic or Industry settings Optional – Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures…