About Anyscale
Effortless scalable computing for AI and Python
Key Highlights
- Founded by the creators of Ray, powering companies like Netflix & OpenAI
- $259.6 million raised in Series C funding
- Headquartered in Yerba Buena, San Francisco, CA
- Serves customers like Canva, Recursion, and RunwayML
Anyscale, headquartered in Yerba Buena, San Francisco, CA, is a leader in scalable computing for AI and Python, providing an AI-native platform that seamlessly scales from a single machine to thousands of GPUs. Founded by the creators of Ray, Anyscale has raised $259.6 million in Series C funding an...
🎁 Benefits
Anyscale offers a comprehensive benefits package including a monthly learning and wellness stipend, paid volunteer time off, and 12 weeks of paid pare...
🌟 Culture
Anyscale fosters a culture focused on solving the challenges of AI infrastructure, leveraging the open-source Ray framework to enhance distributed AI ...
Skills & Technologies
Overview
Anyscale is hiring a Software Engineer to contribute to the Ray backend, focusing on high-performance distributed systems. You'll work with C++ and engage in machine learning applications. Experience with systems software is essential.
Job Description
Who you are
You have a strong background in systems software engineering, with experience in building high-performance distributed systems. Your expertise in C++ allows you to contribute effectively to the development of the Ray backend, ensuring reliability and scalability. You understand the complexities of distributed computing and are eager to work on innovative solutions that democratize access to these technologies.
You are passionate about machine learning and its applications, and you have a keen interest in contributing to open-source projects. Your problem-solving skills enable you to tackle challenging issues in distributed systems, and you thrive in collaborative environments where you can share knowledge and learn from others.
What you'll do
As a Software Engineer at Anyscale, you will be part of the Ray Core team, responsible for developing and maintaining the Ray C++ backend. You will work on the distributed scheduler, language runtime integration, and I/O and memory subsystems, ensuring that Ray meets the performance and reliability standards required for scalable machine learning applications. You will balance your work between implementing new features, improving testing infrastructure, and debugging complex issues.
You will collaborate closely with other engineers to enhance the feature set of Ray, supporting higher-level libraries and use cases. Your contributions will directly impact the usability of Ray for developers and data scientists, allowing them to scale their machine learning applications seamlessly. You will also participate in architectural discussions, helping to shape the future of the Ray ecosystem.
What we offer
At Anyscale, you will join a mission-driven team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a supportive environment that encourages experimentation and learning, allowing you to expand your skills and make a meaningful impact in the field of distributed computing.
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