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 |
|---|---|---|
| AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety The role focuses on applied research in responsible AI and safety for foundation models, including training, evaluation, alignment, and mitigations for deployment in Apple products. It involves collaboration with researchers and engineers to develop and deliver AI technologies that uphold Apple's values and privacy standards. | Post-trainAgent | 9 |
| Machine Learning Engineer — Camera & Photos, Creative Foundations Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. This role involves inventing novel ML models at the intersection of research and product features, focusing on image understanding for consumer-facing applications. Responsibilities include designing architectures, training strategies, and intelligent systems, translating research into shippable features, and leveraging interpretability techniques. Requires MS/PhD, experience in ML/computer vision, proficiency in ML frameworks, and understanding of modern ML architectures. Preferred qualifications include a track record of creative problem-solving, published research, and specific computer vision experience. |
| Post-trainServe |
| 9 |
| Camera Software- Sr. Machine Learning Research Engineer Research Engineer role focused on developing and fine-tuning generative models for Apple's camera software, specifically for computational photography applications on iPhone and iPad. The role involves designing model architectures, training strategies, building data pipelines, and developing evaluation frameworks, with a strong emphasis on vision and image generation. | Post-trainData | 9 |
| Senior Applied ML Scientist – Generative Video This role focuses on researching, designing, and training state-of-the-art generative video models, primarily diffusion-based, with applications for creative users. It involves exploring novel architectures, spatiotemporal modeling, and multi-modal conditioning, aiming for real-world product impact. | Post-train | 9 |
| AIML - Senior ML Researcher in Foundation Models, Responsible AI Senior ML Researcher in Foundation Models, Responsible AI. Focus on research and application of ML methods for breakthrough user experiences while upholding Apple's values, privacy, and quality standards. Will define and deliver responsible ML technologies, develop methods to train and evaluate foundation models with responsibility and safety in mind, research safety alignment and model robustness, and develop mitigations for safe LLM deployment. | Post-trainAgent | 9 |
| AIML - Research Scientist, AI Interpretability & Visualization Research Scientist focused on AI interpretability and visualization, developing tools and strategies to make AI systems more understandable, transparent, and safe. The role involves defining research directions, implementing new tools, investigating AI algorithms, and contributing to projects that ship on Apple devices. | Post-trainEval Gate | 8 |