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Apple Machine Learning Engineer United States, California, Cupertino 752780582
06.03.2025
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Description
Responsibilities include:-Designing and driving end to end features with specialists across the company-Developing machine learning data pipelines for training and testing -Deploying efficient, low-power models & algorithms-Delivering the software through prototyping and release to our customers -You will work closely with scientists, software engineers, quality engineers, project managers, and designers throughout a product lifecycle, driving for the best possible customer experience.
Minimum Qualifications
- MS, PhD, or 5+ years experience in machine learning, computer science, or related fields
- Professional experience creating and experimenting with machine learning models, preferably with time series data
- Strong proficiency in Python, machine learning tools and frameworks e.g. PyTorch, TensorFlow
Preferred Qualifications
- Results oriented, with a proven ability to effectively prioritize and deliver tasks on schedule
- Excellent communication and collaboration skills
- Strong product sense, including the ability to balance technical feasibility with user experience
- Experience developing for embedded or real-time systems
- Experience leveraging distributed compute/storage models when the scale of data calls for it
- Experience designing and implementing interfaces between algorithms, software, and firmware
- Experience with multi-modal inputs and models, including IMU, images, video, and/or audio
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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