A pioneering AI research firm is seeking an ML Training Platform Engineer to design and manage the foundational infrastructure for a decentralized machine learning training platform. You will be responsible for architecting distributed systems, orchestrating multi-cloud resources, and creating robust systems to handle real-world networking challenges. The ideal candidate has over 5 years of experience in infrastructure engineering and a passion for distributed technologies and machine learning.
Distributed ML Training Platform Engineer (Multi-Cloud) in Melbourne employer: Pluralis Research
At Pluralis Research, we pride ourselves on being a remote-first AI startup that fosters a dynamic and innovative work culture. Our Operations Associate role not only provides the opportunity to collaborate closely with our leadership team but also encourages personal and professional growth through exposure to diverse operational projects. With a commitment to leveraging cutting-edge AI tools, we empower our employees to streamline workflows and contribute meaningfully to our mission of building a decentralised AI ecosystem.
