Technical Writer

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role

Machine learning and AI are the future of technology and we at Anyscale believe that Ray and Anyscale will define this future. As a Technical Writer for the Ray Ecosystem and Anyscale Platform, you will envision, design, and ship documentation that makes it possible for developers to build the applications of the future effortlessly and with clarity.

Anyscale is a user focused company. You’ll be diving into conversations with open source users and developers as well as those using and building our core product. After finding critical gaps in clarity to address on behalf of these users, you’ll be an executor working closely with users, customers, engineers, designers, and marketing in order to successfully roll out Anyscale and Ray documentation, usage examples and technical feature announcements.

Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences - whether it’s a non-technical executive or an individual engineer.

About the team

• Our mission is to advance the capabilities of Ray and advance machine learning workloads on the Anyscale Platform. We are a lean and mighty team, responsible for upholding the quality and effectiveness of user documentation spanning long form docs and API references.
• We operate at the intersection of customer experience and product development. Uniquely positioned to focus on a holistic customer experience across all products. Writers are focused on onboarding and self-service, beyond just docs pages, but including understanding critical user journeys, search, and chatbots.
• We are the internal advocates of the importance of user documentation, and quality standards. To be successful, our ideal candidate is curious, able to work independently, have strong opinions about our users’ experience, and have a growth mindset.

We'd love to hear from you if you have

• BS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields
• 4-6 years of relevant work experience
• Excellent knowledge of Machine Learning and Deep Learning software architecture and frameworks
• Experience with Python, MLOps, DevOps, virtualization, and Docker in cloud computing environments
• Strong technical skills with the ability to learn Ray and build Ray applications with various libraries
• Excellent presentation, communication, and collaboration skills
• Ability to work cross-functionally both internally and externally
• Experience communicating with end-users to understand technical requirements
• Ability to thrive in a fast-paced and unstructured environment
• Strong sense of great user documentation and UX

A snapshot of projects you may work on

• Define documentation strategy in the machine learning areas of Anyscale and Ray. You’ll drive, prioritize, and execute on an ambitious and impactful product documentation roadmap.
• Take the documentation strategy to market with the Product and Engineering teams and help drive Ray and Anyscale adoption. You will partner on feature launch usage examples and help write blog posts to drive adoption.
• This role is all about driving clarity around ML and developer workflows.
• Strong knowledge of the ML ecosystem and experience communicating with Data Scientists / Software/ML Engineers / DevOPs teams is critical.
• You’ll be responsible for unifying the documentation strategy for Ray and Anyscale’s ML ecosystem including tuning, training, serving, and more.