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Apple Senior Machine Learning Platform Engineer United States, California, Cupertino 941045862
01.08.2024
Minimum Qualifications
- PhD, MS or BS in Computer Science with significant experience building software/ml platforms
- Experience building large scale applications/services.
- Experience building and scaling cloud-based architectures.
- Experience with building AI/ML infrastructure, writing mission-critical code, and building production machine learning systems.
- Experience building machine learning models.
- Experience working on complex problems and systems where scalability and performance are very important (every millisecond counts)
- Proven experience architecting, developing and deploying internet-scale, distributed and critical services
- Pride in building tools to automate routine tasks, organized & detailed
- Familiar with CI, CD & Deployment tooling
- Release engineering & release management experience
- Network, scaling, performance tuning & trouble-shooting
- Strong problem solving and debugging skills.
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Results oriented and deadline driven
- A desire to work in a fast-paced and challenging work environment
Preferred Qualifications
- Prior experience in advertising industry is a huge plus.
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 $207,800 and $378,700, 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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