Remote Software Engineer - Reinforcement Learning

Description:

• Anyscale is on a mission to democratize distributed computing and make it accessible to software developers of all skill levels.
• The company is commercializing Ray, a popular open-source project that creates an ecosystem of libraries for scalable machine learning.
• Companies like OpenAI, Uber, Spotify, and Instacart use Ray in their tech stacks to accelerate AI applications.
• The role involves working with RLlib, an open-source library for reinforcement learning that offers high scalability and a unified API for various applications.
• The company is looking for software engineers with machine learning experience to enhance RLlib, seeking both senior hires and motivated less experienced individuals.
• Responsibilities include developing high-quality open-source software for RLlib, implementing and evaluating new RL algorithms, improving the testing process, and communicating work through talks, tutorials, and blog posts.

Requirements:

• Candidates must have relevant experience using RLlib or developing RL algorithms.
• Strong proficiency in Python and either PyTorch or TensorFlow is required.
• Candidates should be excited about working with customers applying reinforcement learning to their use cases.
• A passion for working on open source and sharing new features with the community is essential.

Benefits:

• Anyscale offers a collaborative and innovative work environment focused on cutting-edge technology.
• The company is backed by prominent investors, providing a stable foundation for growth and development.
• Employees have the opportunity to work on impactful projects that democratize access to distributed computing and machine learning.
• Anyscale is an Equal Opportunity Employer, ensuring a diverse and inclusive workplace.