Applied Research Lead, Reinforcement Learning
RunwayFull Time
Junior (1 to 2 years)
Candidates should have existing machine learning experience and strong proficiency in Python and PyTorch or Tensorflow. Experience using RLlib or developing RL algorithms is preferred, and candidates should be excited about working with customers and contributing to open source projects.
The Software Engineer will enhance RLlib, an open-source library for reinforcement learning, by developing high-quality software, implementing and evaluating new RL algorithms, and improving the testing process. They will also communicate their work through talks, tutorials, and blog posts.
Platform for scaling AI workloads
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.