Fastino Labs

Compensation

Full Description

Job Description: • Design, build, and deploy the critical small language models that are foundational to Fastino’s product • Own the full lifecycle of state of the art models, from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production • Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards • Build robust and real-world motivated evaluations • Partner with Fastino engineering team to ship model updates directly to customers • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development Requirements: • Advanced degree (Bachelors or Masters) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning or computer vision methodologies • Demonstrated ability to do independent research in Academic or Industry settings • 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 • Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization Benefits: • Health insurance • Flexible work arrangements • Professional development