Machine Learning Engineer - MLR
About The Position
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and junior research engineers to support 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 support innovative foundational research, with focus on Multimodal LLMs and AI Agents, by building large scale distributed training pipelines, in particular Reinforcement Learning Systems. 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.You will 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. You will work closely with both researchers but also potentially product partners, resulting in publications as well as prototypes for internal product efforts.Expertise in Foundational Models or Reinforcement Learning is a plus.
Nice To Haves
- Expertise in Foundational Models or Reinforcement Learning
- Experience working in a Research Environment.
- Publication track in ML conferences (Neurips, ICLR, ICML) or related.
Responsibilities
- Support innovative research in the areas of Multimodal LLMs and AI Agents by designing and building scalable ML pipelines
- Executing experimentation
- Performing analyses
- Work closely with both researchers but also potentially product partners, resulting in publications as well as prototypes for internal product efforts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
