Anyscale

About Anyscale

Effortless scalable computing for AI and Python

🏢 Tech👥 201-500 employees📅 Founded 2019📍 Yerba Buena, San Francisco, CA💰 $259.6m3.9
B2BArtificial IntelligenceEnterpriseMachine LearningSaaS

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 ...

Overview

Anyscale is hiring a Software Engineer for their ML Developer Experience team to create tools for scalable machine learning applications. You'll work with technologies like Python and Kubernetes to enhance developer experiences. This position requires experience in machine learning and distributed systems.

Job Description

Who you are

You have a strong background in software engineering with a focus on machine learning — you've developed applications that leverage ML frameworks and understand the intricacies of distributed systems. Your experience includes working with tools like Kubernetes and Docker, which are essential for deploying scalable applications. You are passionate about creating user-friendly interfaces that enhance the developer experience, and you thrive in collaborative environments where you can engage with users to understand their needs. Your technical skills are complemented by your ability to communicate effectively with both technical and non-technical stakeholders.

You have experience with Python and are familiar with ML frameworks such as MLflow — you've built and deployed machine learning models in production settings. Your understanding of cloud infrastructure and services enables you to design robust solutions that can scale efficiently. You are detail-oriented and take pride in delivering high-quality products that meet user expectations. You enjoy problem-solving and are always looking for ways to improve existing systems and processes.

What you'll do

As a Software Engineer on the ML Developer Experience team, you will be responsible for developing tools and services that empower users to create production-quality applications using Ray. You will collaborate with cross-functional teams to design and implement features that enhance the user interface and overall experience. Your role will involve building critical infrastructure components that support the Anyscale platform, ensuring that they are reliable and scalable. You will also engage with users to gather feedback and iterate on product features, making sure that the tools you develop meet their needs effectively.

You will participate in code reviews and contribute to the overall architecture of the system, ensuring best practices are followed. Your work will directly impact the success of Anyscale's mission to democratize distributed computing, making it accessible to developers of all skill levels. You will have the opportunity to mentor junior engineers and share your knowledge of machine learning and distributed systems, fostering a culture of learning and collaboration within the team.

What we offer

Anyscale provides a dynamic work environment where innovation is encouraged. You will have the chance to work on cutting-edge technology that is shaping the future of distributed computing. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to make machine learning accessible to everyone and be part of a team that values creativity and collaboration.

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