Machine Learning Infrastructure Engineer (Multiple Opportunities)

We are seeking talented engineers with strong infrastructure and distributed systems backgrounds to help scale AI for multiple portfolio companies in the SF Bay Area. Ideal candidates will have 3+ years of industry experience in ML Infrastructure or AI Engineering. You will build scalable, reliable ML infrastructure to support model deployment, data pipelines, and experimentation at scale. Responsibilities include designing distributed systems, containerization, deployment automation, monitoring, and security considerations. Collaborate with fast-moving startups, drive architecture decisions, and optimize for performance, reliability, and developer productivity. This is a full-time, on-site opportunity based in San Francisco, CA.

Find here the full details of the responsibilities for this role: daily tasks, projects to lead, goals to achieve and scope of work within the team. Everything you need to picture yourself in the role and know exactly what to expect from day one.

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