Software Engineer, Anyscale

• We’re particularly interested in engineers who can help shape and execute a vision for the future of ML training infrastructure
• We welcome both Individual Contributors and technically inclined individuals with experience managing small teams
• Minimum 5+ years of experience building, scaling, and maintaining software systems in production environments
• Strong fundamentals in algorithms, data structures, and system design
• Proficiency with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost)
• Experience designing fault-tolerant distributed systems
• Solid architectural skills

Desirable

• We’re looking for passionate, motivated engineers excited to build infrastructure and tools for the next generation of machine learning applications
• We’re hiring exceptional Software Engineers for our distributed training team, which develops and maintains widely adopted open-source machine learning libraries
• The Distributed Training team drives the development and optimization of Ray’s distributed training libraries, focusing on features and performance enhancements for large-scale machine learning workloads
• They are responsible for building and maintaining core libraries like Ray Train (for distributed model training) and Ray Tune (for distributed hyperparameter tuning)
• You’ll collaborate closely with the Ray Core and Ray Data teams to create impactful, end-to-end solutions, and have the exciting opportunity to work directly with Machine Learning teams around the globe, shaping products that are transforming the AI landscape
• Develop scalable, fault-tolerant distributed machine learning libraries that power leading ML platforms
• Create an exceptional end-to-end experience for training machine learning models
• Solve complex architectural challenges and transform them into practical solutions
• Contribute to and engage with the open-source community, collaborating with ML researchers, engineers, and data scientists to build new scalable machine learning abstractions
• Share your work and expertise with a broader audience through talks, tutorials, and blog posts
• Collaborate with a team of experts in distributed systems and machine learning
• Work directly with end-users to iterate on and enhance the product based on their feedback
• Partner with engineering and product managers to nurture a talented team of software engineers
• Play a key role in building and shaping a world-class company

• We offer a wide range of health, dental, and vision coverage options for you and your family — including many that are 99% covered by Anyscale
• Whether you’re hopping on public transit or driving in yourself, Anyscale covers a portion of your commuting costs each month
• Lunch is served every day in our San Francisco office. Dinner, too, if you’re ever working late. And did we mention daily boba runs?
• Give back to the causes and communities you love with paid time off specifically for volunteer work
• Anyscalers can take advantage of 12 weeks of paid leave following the arrival of a new little one
• Paid time off at Anyscale is flexible and unlimited. We encourage all Anyscalers to rest up and recharge when needed

Total funding: $259.6m

AnyScale is a platform facilitating the development of distributed applications with high computing demands on its Ray platform. It answers an increasing requirement for higher-level tech strategies among companies which are incorporating AI and machine learning into their products, and a similarly broad and growing demand for easier access to cloud programming.