As a Platform Engineer focused on machine learning, you'll design and manage cloud platforms that support ML projects. This role is ideal for someone who enjoys building environments that facilitate innovation and collaboration among developers.
In this role, you will be responsible for designing and operating cloud platforms specifically tailored for machine learning applications. Your main task will be to create a competition and evaluation platform where participants can submit their machine learning projects. These projects will be executed in secure, GPU-enabled runtime environments, ensuring that they run efficiently and safely.
Your daily responsibilities will include building and maintaining GPU-enabled compute environments that cater to various machine learning workloads. You will also develop sandboxed runtime environments that allow users to submit their code without compromising security. Additionally, you will focus on creating reusable platform tooling and automation systems that will be utilized by other engineers in the organization.
This position is well-suited for individuals who have a strong background in machine learning infrastructure and cloud platforms. If you enjoy working in a fast-paced environment and have a passion for building systems that empower developers, this role could be a great fit for you.
Key requirements for this role include experience with cloud platforms and machine learning infrastructure, as well as a solid understanding of GPU-enabled environments. Familiarity with automation systems will also be beneficial. If you are ready to take on the challenge of building innovative platforms for machine learning, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.