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Apple
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
Apple
San Francisco•On-site•5-8 Yrs•2 hours ago
Job description
Overview
We are Foundation Model Inference Team, within AI, Search & Knowledge Platform Technologies organization.
Responsibilities
- Work along side Foundation Model Research team to optimize inference for cutting edge model architectures.
- Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time.
- Build tools to understand bottlenecks in Inference for different hardwares and use cases.
- Mentor and guide engineers in the organization.
Qualifications
- 5+ years of experience leading and driving complex, ambiguous projects.
- Familiarity with GPU programming concepts using CUDA.
- Familiarity with one of the popular ML Frameworks like Pytorch, Tensorflow.
- Have experience with high throughput services particularly at supercomputing scale.
- Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
- Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
- BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
- MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.
Nice to have
- Proficient in building and maintaining systems written in modern languages (eg: Golang, Python)
- Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
- Familiarity with Nvidia TensorRT-LLM, vLLM, DeepSpeed, Nvidia Triton Server etc.