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Apple Machine Learning Engineer OS Intelligence United States, California, Cupertino 196327286
10.08.2024
Description
In this role, you will have the opportunity to: -Innovate, conceptualize, and prototype novel intelligent experiences by leveraging recent advances in LLMs, sequence-to-sequence models, and fine-tuning (like LoRA adapters, RAG pipelines) to architect foundation models for a diverse set of applications in the OS. -Build scalable cloud-based and on-device infrastructure to accelerate seamlessly running experiments and monitoring shipped models. -Analyze, understand, and present key performance data for highly-visible OS features. -Write elegant, performant code in Objective-C or Swift and test, debug, and productize it.
Minimum Qualifications
- Bachelor’s degree in Computer Science or equivalent work experience.
- Strong programming background and a clear understanding of operating system components.
- Familiarity with statistics, data analysis, or machine learning and the enthusiasm to learn more.
- Highly professional and collaborative with outstanding communication and presentation skills.
- Proven track record leading software projects from inception through customer delivery.
- Ability to deliver high quality work on tight schedules consistently.
Preferred Qualifications
- Familiarity with Python, Objective C, or Swift.
- Familiarity with Deep Learning libraries like PyTorch and Tensorflow.
- Experience building and leading Applied Machine Learning projects in industry or academia.
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 $143,100 and $264,200, 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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