Apple is looking to build the next revolution of machine learning technology, with a focus on Multimodal LLMs and AI Agents, by supporting ambitious curiosity-driven long-term research projects that will impact the future of Apple and its products.
Requirements
- Demonstrated expertise in scalable ML systems
- Hands-on experience working with deep learning toolkits such as Jax or PyTorch.
- Ability to support a research with infrastructure building, experimentation, and analysis; bias for action and ability to execute in a fast paced environment.
- Expertise in Foundational Models or Reinforcement Learning is a plus.
- Publication track in ML conferences (Neurips, ICLR, ICML) or related.
Responsibilities
- support innovative foundational research, with focus on Multimodal LLMs and AI Agents, by building large scale distributed training pipelines, in particular Reinforcement Learning Systems.
- support innovative research in the areas of Multimodal LLMs and AI Agents by designing and building scalable ML pipelines, executing experimentation, and performing analyses.
- The engineering work revolve around modeling and data decisions that enable strong reasoning and planning capabilities in Multimodal LLMs in particular and Foundation Models in general; techniques and methods of enabling interactive and embodied applications of such models towards AI Agents.
- work closely with both researchers but also potentially product partners, resulting in publications as well as prototypes for internal product efforts.
Other
- mid-level and junior research engineers
- passionate
- curiosity driven long-term research projects
- Ability to work in a diverse collaborative environment as part of larger projects.
- Experience working in a Research Environment.
