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 Researcher, MLR Seeking junior and mid-level researchers for foundational ML research impacting Apple products. Role involves self-directed and collaborative research, publishing results, and providing technical mentorship. Requires expertise in ML research topics like RL, LLM training/adaptation, reasoning, diffusion models, audio, and multimodal models, with a strong publication record and deep learning toolkit experience. | Pretrain | 10 |
| AIML - Machine Learning Researcher, MLR This role is for a mid-level to senior Machine Learning Researcher focused on foundational, long-term research projects that will impact future Apple products. The researcher will push the boundaries of ML research, publish in top-tier venues, and collaborate with other researchers and engineers. A PhD or equivalent experience and a strong publication record are required. | Pretrain |
| 10 |
| AIML - Sr Machine Learning Engineer, Data and ML Innovation Senior Machine Learning Engineer at Apple focused on innovating and applying state-of-the-art research in foundation models, particularly for audio data. The role involves the full ML pipeline from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning. Responsibilities include designing multi-modal data generation frameworks, building model evaluation pipelines, analyzing multi-modal data, and contributing to products with multi-modal perception data, especially audio and sensor fusion. The role also emphasizes representation learning, pre-training/fine-tuning for speech tasks, data selection techniques, and modeling data distributions. Collaboration with researchers and engineers is key, with opportunities for publishing groundbreaking research. | PretrainPost-train | 9 |
| SWE Intern - Machine Learning Engineer, Language Models Internship role focused on building large language models (LLMs) and generative models, including pretraining, LLM architecture, and scientific scaling. The role involves developing algorithms and systems for deep learning research and applying them to Apple products, with opportunities in text, image, speech, and video modalities. | Pretrain | 9 |
| AIML - Machine Learning Researcher, MLR Apple is seeking a Machine Learning Researcher to conduct foundational research in LLMs and generative models, focusing on long-term, curiosity-driven projects. The role involves defining and executing research plans, implementing experiments, and publishing results in top-tier scientific venues. Collaboration with ML engineers and researchers across Apple is expected, with opportunities for technical mentorship. | PretrainPost-train | 9 |
| AIML - Machine Learning Research Scientist, Data and ML Innovation Research Scientist role focused on fundamental research of foundation models for scientific domains, involving project definition, method development, experimental design, analysis, interpretation, publication, and applied problem-solving. Collaborates with internal teams. | PretrainPost-train | 9 |
| AIML - Machine Learning Research, Multimodal Foundation Models Research role focused on building multimodal foundation models, with a focus on image understanding and generation. The role involves developing algorithms, techniques, and systems that push the frontier of deep learning, with opportunities to publish and apply models to Apple products. | PretrainPost-train | 9 |
