RunwayUnited StatesResearch Engineer optimizes GPU performance for large-scale AI world model training and real-time inference, focusing on custom kernels, distributed systems, and mixed-precision techniques. Requires 4+ years in ML infrastructure and performance optimization.
Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.
Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
As a Staff Applied Scientist, you will define and build measurement systems for AI agent interfaces at Datadog, focusing on evaluation strategy, metric definition, and dataset creation to improve agent performance on customer workflows.
Applied Research Scientist develops computer vision and generative models for creative AI tools, collaborating cross-functionally to productionize research. Requires 4+ years in ML/CV/graphics, strong Python/C++/PyTorch skills, and experience mentoring researchers.