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Apple AIML - Platform Principal Machine Learning Engineer United States, Washington, Seattle 956799745
15.06.2024
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Description
As a principal machine learning engineer in the machine learning platform team, you will collaborate with ML engineers, software engineers, and product managers to ensure the ML Platform can quickly adapt to the needs of evolving AIML landscape at Apple.Specifically you will have the following responsibilities:
Minimum Qualifications
- 5+ years of experience working on AI or machine learning areas, with strong engineering background
- Proven track record building and deploying end-to-end ML solutions in production environments
- Experience in instrumenting, measuring, and continuously improving the performance of ML applications
- Deep understanding of machine learning algorithms and techniques, and a keen interest in staying current with the latest advancements in AI technologies
- Excellent programming skills in Python (or a similar language) and familiarity with machine learning libraries (e.g.,TensorFlow, PyTorch, or JAX)
- Excellent communication and collaboration skills
- Bachelors degree in Computer Science, Engineering
Preferred Qualifications
- Solid software engineering foundation with experience in building scalable and maintainable systems
- Experience with data wrangling, pre-processing, and feature engineering
- Master's degree in Computer Science, Engineering, or equivalent experience in related fields
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 $189,800 and $284,900, 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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