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Apple Lead Software Engineer - Data Platform ML ASE United States, California, Cupertino 158604770
01.08.2024
Minimum Qualifications
- 10+ years of software development experience
- Experience with commercial and/or open source large scale data processing, storage frameworks and platforms
- Strong experience with infrastructure automation and provisioning including Kubernetes/Terraform.
- Experience architecting, building and operating large scale data processing systems in the public cloud
- Proficient in best practices and enforcement for data security, automation-driven, proactive monitoring
- Excellent verbal and written communication skills, able to collaborate cross-functionally with program managers and engineering partners
- Experience in influencing and driving key product innovations and opportunities across diverse collaborators
- BS, MS, or PhD degree in Computer Science or equivalent experience
Preferred Qualifications
- Experience working with or developing Large-language models (LLMs)
- Experience developing and optimizing algorithms that run efficiently on resource constrained platforms
- Design, implementation and benchmarking/fine-tuning of ML/deep learning algorithms
- Familiarity with GPU computing or ML modeling frameworks.
- Experience with observability tools like Prometheus and Grafana.
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 $175,800 and $312,200, 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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