AIML - Machine Learing Engineer, MLR
Job Description
Summary
As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. The vast diversity of humans that interact with our technology expect and deserve features that work for them, not just for a select few — ML fairness is how we work to ensure that.
A ML Engineer in this position will work with researchers across Machine Learning Research to build scalable, distributed training and research pipelines as well as implement research ideas into algorithms and conduct experiments. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across the our team and all of Apple. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position, you will help build and deploy software to solve a variety of high-performance computing needs including large distributed ML training and research into large-scale ML training.
A ML Engineer in this position will work with researchers across Machine Learning Research to build scalable, distributed training and research pipelines as well as implement research ideas into algorithms and conduct experiments. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across the our team and all of Apple. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position, you will help build and deploy software to solve a variety of high-performance computing needs including large distributed ML training and research into large-scale ML training.
Description
We have more ideas than we have people, and it is critical for our team to rally together to grow a shared research agenda. The primary objective of a Research Engineer is to accelerate this shared research agenda. As our organization matures, this shared agenda will build out a set of core competencies and provide a foundation for future research projects.
Minimum Qualifications
- We have more ideas than we have people, and it is critical for our team to rally together to grow a shared research agenda. The primary objective of a Research Engineer is to accelerate this shared research agenda. As our organization matures, this shared agenda will build out a set of core competencies and provide a foundation for future research projects.
- Expert in Python programming and experience with PyTorch, JAX and/or TensorFlow.
- Experience with distributed computing
- Experience maintaining an open-source project
- Excellent communication skills
- Experience and passion to circumvent unexpected roadblocks
- Past research experience is a plus
- Experience with CUDA programming, and/or High-Performance Computing is a plus
Preferred Qualifications
- Develop and maintain machine learning infrastructure for our ongoing efforts. Most importantly, we need to support a wide variety of datasets, develop a scalable and flexible training infrastructure and support new features as they increase in priority during the course of research.
- Accelerate our research efforts through experimentation and comprehensive evaluation of model performance.
- Become our resident expert on the machine learning infrastructure at Apple. Investigate and understand various machine learning infrastructures that we may wish to adopt for MLR.
- Advise teammates within MLR about new technologies both within and external to Apple for performing machine learning research.
Pay & Benefits
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