AIML - Machine Learning Researcher, MLR
Job Description
Summary
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and junior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research, with focus on Multimodal LLMs and AI Agents. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Description
You will propose and co-develop innovative research in the areas of Multimodal LLMs and AI Agents, execute it through implementation and experimentation in collaboration with other researchers and engineers. The research questions 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 will involve hands-on rapid prototyping of ideas and use of scalable distributed compute. You will work closely with both researchers but also potentially product partners, resulting in publications as well as prototypes for internal product efforts.
Minimum Qualifications
- PhD, MS or equivalent in Computer Science, Engineering, or equivalent; strong mathematical skills in linear algebra and statistics.
- Demonstrated expertise in Machine Learning or Computer Vision;
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, etc).
- Hands-on experience working with deep learning toolkits such as Jax or PyTorch/
- Ability to formulate a research problem, design, experiment, implement and communicate solutions.
Preferred Qualifications
- Work in Foundational Models or Reinforcement Learning.
- Experience with Scalable ML Systems and Frameworks.
- Strong passion for systems-based and mission-driven research with focus on execution and velocity.
- Ability to work in a diverse collaborative environment as part of larger projects.
Pay & Benefits
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