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Apple Senior Software Engineer - Machine Learning Infrastructure United States, California, Cupertino 416339442
04.07.2024
Minimum Qualifications
- 10 years of hands-on experience in the realm of large-scale data processing and/or machine learning infrastructure, showcasing a robust understanding of the complexities associated with such environments.
- Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Kafka, Iceberg, and Ray, in the data and machine learning ecosystem.
- Strong hand-on programming skills, particularly in Java or other JVM languages, showcasing the ability to develop robust, scalable, and maintainable codebases for intricate data and machine learning infrastructure.
- A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.
- A customer-focused approach, combined with excellent listening skills and a deep understanding of user requirements. Be adept at translating user needs into actionable solutions and acting as a subject matter expert in customer discussions.
- Exhibit proficiency in scoping and prioritizing tasks with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements.
Preferred Qualifications
- Former experience in public cloud systems, particularly in AWS or GCP environments, is a great plus.
- Knowledge of Kubernetes is a significant plus.
- Proactive engagement with open-source community, aligning business objectives with the principles of collaborative development and innovation.
- (Nice to have) Experience with GPU / training / LLM / Inferencing
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 $170,700 and $300,200, 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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