Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 5+ years of pre- and post-sales experience, either as a sales engineer or solutions engineer.
Responsibilities include building product demos and tutorials, educating customers on Ray, working with customers to build applications, communicating with all organizational levels, and collaborating cross-functionally to represent customer needs.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate is a scrappy executor who can work independently, lead complex POVs, demo products effectively, communicate technical concepts to diverse audiences from C-suite to engineers, and has deep knowledge of Ray and the ML landscape.
Platform for scaling AI workloads
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.