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Apple AIML - Machine Learning Infrastructure Foundation Models United States, West Virginia 402837904
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- Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
- Collaborate with other teams to productionize state-of-the-art AI algorithms
- Optimize models for performance, efficiency, and on-device intelligence
- Implement machine learning systems with stringent privacy and security requirements
- May also require to manage a small team of engineers.
- MS or PhD in Computer Science, Machine Learning, or related technical field
- Expert-level programming skills in Python
- Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
- Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
- Experience with large-scale model training and deployment
- Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
- Distributed computing frameworks
- Experience with foundation models and large language models
- Background in multi-modal AI systems
- Demonstrated ability to transform research prototypes into production systems
- Published research or significant contributions to open-source ML projects
- Understanding of on-device machine learning techniques
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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