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Apple AIML - Staff Machine Learning Engineer ML Platform & Technology United States, Washington, Seattle 700011846
Yesterday
Description
We're searching for strong machine learning engineers to help build next-generation platform for training deep learning models at scale. You'll be part of a team of distributed systems and machine learning experts, focusing on reliability, scalability and performance of ML related workloads including model training, inference and data processing.
Minimum Qualifications
- Strong programming skills in Python or Go
- Understanding of data structures, software design principles, and algorithms
- Experience building large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc.
- Experience with deep learning frameworks, such as PyTorch, or JAX
- With minimum of 7+ years of industry experience
- Bachelors in the area of Computer Science or equivalent, or a related domain
Preferred Qualifications
- Experience building large-scale deep learning infrastructure or platforms for distributed model training
- Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA
- Experience working with public cloud vendors such as AWS, GCP, Azure.
- Experience developing model parallel and data parallel training solutions and other training optimizations
- Familiarity with recent developments in foundation model architectures for language and multimodal
- Publication record at ML conferences such as MLSys, NeurIPS, etc.
- Masters or PhD in the area of Computer Science or equivalent, or a related
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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