Effortless scalable computing for AI and Python
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...
Anyscale offers a comprehensive benefits package including a monthly learning and wellness stipend, paid volunteer time off, and 12 weeks of paid pare...
Anyscale fosters a culture focused on solving the challenges of AI infrastructure, leveraging the open-source Ray framework to enhance distributed AI ...
Anyscale is hiring an AI / ML Solutions Engineer to design, implement, and scale machine learning workloads using Ray. You'll work closely with customers to solve real-world production problems and guide them through architectural decisions. This role requires hands-on experience in machine learning and MLOps.
You have a strong background in machine learning and distributed systems, ideally with hands-on experience as a Machine Learning Engineer or MLOps Engineer. You enjoy solving complex production problems and have a knack for guiding teams through architectural decisions and operational best practices. Your experience with Ray or similar technologies will be invaluable as you help customers scale their ML applications. You are comfortable working directly with clients, translating technical concepts into actionable insights, and enabling teams to adopt new technologies effectively.
Experience with distributed computing frameworks and a passion for democratizing technology will set you apart. Familiarity with customer-facing roles and a strong understanding of machine learning workflows will enhance your ability to support clients effectively.
In this role, you will work closely with Anyscale’s Professional Services team to design and implement scalable machine learning solutions for our customers. You will guide clients through the adoption of Ray for distributed training, data processing, and inference, ensuring they understand the architectural changes necessary for success. Your hands-on approach will involve collaborating with customer teams to refactor applications and implement best practices for operational excellence. You will also play a key role in enabling customer ML and MLOps teams, helping them to understand the intricacies of operating Ray-based systems in production environments. Your contributions will directly impact the success of our clients as they leverage Ray to accelerate their AI applications.
At Anyscale, we are committed to creating an inclusive and supportive work environment. You will have the opportunity to work with a talented team dedicated to making distributed computing accessible to all developers. We offer competitive compensation and the chance to be part of a mission-driven company that is shaping the future of AI and machine learning. Join us in our journey to empower developers and data scientists to scale their applications seamlessly.
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