AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Apple is seeking a Senior Machine Learning Infrastructure Engineer to build and maintain compute infrastructure for ML workloads, including training, inferencing, and fine-tuning. The role involves scoping, architecting, and delivering innovative solutions, collaborating with internal teams, and tackling complex technical problems to enhance the stability, reliability, efficiency, and cost-effectiveness of ML workloads. The ideal candidate will have a passion for tackling complexity and building scalable platforms.

Requirements

• Bachelors in Computer Science, engineering, or a related field
• 4+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models
• Proficient in relevant programming languages, like Python or Go
• Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms.
• Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, Beam, Flink
• Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses