Anyscale, backed by prominent investors with $250+ million in funding, is revolutionizing distributed computing through Ray, their open-source project. As a Technical Services Engineer, you'll be at the forefront of helping customers implement and succeed with their ML/AI initiatives. The role combines technical expertise in ML/AI, customer advocacy, and problem-solving skills.
The position requires working from the San Francisco office three days a week (Mon, Tue, Thur) in a hybrid setup. You'll be responsible for being the technical advisor for key customers, managing their onboarding and adoption of the Anyscale platform. The role involves end-to-end ownership of customer issues, from troubleshooting to resolution, while participating in a follow-the-sun support model.
The ideal candidate brings 5+ years of customer-facing technical experience, with at least 2 years in a fast-paced startup environment. Strong knowledge of ML/AI, data engineering, and cloud platforms is essential. You'll work with industry leaders like OpenAI, Uber, Spotify, and Instacart who use Ray in their tech stacks.
This role offers competitive compensation ($119,360 - $186,857) plus comprehensive benefits including stock options, healthcare coverage, 401k, wellness and education stipends, and more. It's an opportunity to impact the future of distributed computing and AI while working with cutting-edge technology and prominent customers.
The position requires excellent communication skills, strong technical capabilities, and the ability to manage multiple customer needs simultaneously. You'll collaborate with product and engineering teams to improve the platform while building strong relationships with technical stakeholders. Experience with Ray, MLOps platforms, and LLMs is a plus.