Machine Learning Engineer Intern (Agentic Platform) - 2027 summer

San Jose Intern R&D Future Talent 2027 - Internship Program Job ID: A230623 Responsibilities The Agentic Platform team is the force-multiplier for TikTok USDS JV's Infrastructure and Platform teams. We are building and deploying a highly advanced, autonomous layer of AI agents that act as "virtual team members" for SRE, Systems, Capacity, Networking and operational roles. Our agents don't just alert—they observe signals, diagnose root causes, execute complex machine remediations, and safely report outcomes to humans and core cloud infrastructure. Operating under the principle that "agents own the toil, humans own the judgment," we are a 0 to 1 engineering team tackling massive infrastructure challenges. Over the next 6 months, our mission is to eliminate over 50% of manual ticket-handling effort across USDS and measurably optimize critical machine infrastructure (GPU, HDFS) and Disaster Recovery (DR) readiness metrics. We are looking for a Software Engineer who thrives in fast-paced environments and is passionate about building production-grade automation. In this role, you will help build the foundational services, integrations, and tools that power our autonomous agents, enabling the fleet to heal itself at scale. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: -Workflow Automation & Triage: Apply the Agentic Platform to specific workflow