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Apple Generative AI Applied Scientist Machine Learning United States, California, Sunnyvale 15520102
13.06.2024
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Key Qualifications
- 5+ years of industry experience with strong ML & gen AI fundamentals
- Hands-on experience with building Deep Learning applications
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong analytical and problem solving skills
- ML depth in generative AI, computer vision and/or multimodality an asset.
- Strong software engineering skills in Python to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
- Proven track record to train and debug deep learning systems: defining metrics and datasets, performing error analysis and training models in a modern ML framework
- Familiarity with researching current ML literature and math including optimization methods and modeling techniques
- Strong experience in the transition of a prototype into a final product
- Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
Education & Experience
M.S. or PhD in AI/ML, EECS, or a related field (mathematics, physics, statistics or computer engineering). A minimum of 5 years of experience in applied ML and/or product development PhD strongly preferred.
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 $138,900 and $256,500, 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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