Currently tracking 194 active AI roles, up 94% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$487k (avg $234k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. This role involves architecting evaluation frameworks, designing MLOps pipelines for model assessment, and translating qualitative failure modes into programmatic guardrails and training signals for Foundation Models and generative AI systems. The role also involves collaborating with various teams to ensure AI experiences are reliable, safe, and aligned with human expectations. | Eval GatePost-train | 9 |
| Senior Machine Learning Engineer, Agentic Workflows - Software Delivery Senior Machine Learning Engineer focused on building agentic workflows to improve Apple's software delivery and developer productivity. This role involves designing and implementing ML pipelines, developing intelligent systems for code analysis and search, and leading the design of generative AI solutions. |
| AgentServe |
| 8 |
| Applied Machine Learning Engineer - Developer Publications Applied Machine Learning Engineer focused on building and maintaining LLM evaluation pipelines for developer tools at Apple. The role emphasizes MLOps/LLMOps, assessing model quality, tracking regressions, and supporting continuous improvement cycles, requiring strong engineering fundamentals and LLM evaluation experience. | Eval GatePost-train | 8 |
| Marcom Creative Technologist This role is for a Creative Technologist in Apple's Marcom team, focusing on R&D and prototyping of innovative experiences using emerging technologies like generative AI, LLMs, diffusion models, and agents. The role involves coding, research, experimentation, and collaboration to integrate these technologies into internal workflows and customer-facing experiences. | AgentData | 7 |
| Data Signals Engineer - Apple Pay Data Signals Engineer for Apple Pay focusing on uncovering and prototyping fraud-deterrent signals within the iOS ecosystem, bridging data science, threat analytics, and mobile engineering. | Data | 7 |
