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Apple AIML - Machine Learning Engineer MIND United States, Washington, Seattle 913329525
01.06.2024
Description
As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning- Scale up model training, build data pipelines, and tuning to improve system performance- Review and implement pioneering machine learning algorithms- Build software that improves rate of experimentationWe prefer candidates with the following optional qualifications- Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning- Experience with building efficient ML models through HW/SW co-design- Experience crafting and defining datasets and metrics for novel tasks- Experience with shipping ML features and products
Key Qualifications
- Proficient in Python and deep learning frameworks like PyTorch
- Experience with training ML models including deep learning based models
- Able to define metrics, evaluate ML models, and perform error analysis
- Familiar with recent advances in deep learning
Education & Experience
Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field
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 $161,700 and $243,300, 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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