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Apple Senior Machine Learning Software Engineer Creativity Apps Ireland, Cork 442936457
27.06.2024
Minimum Qualifications
- MS or PhD in Computer Science, Machine Learning or related field, and 3-5 years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies.
- Demonstrated expertise in machine learning and deep learning techniques.
- Hands-on experience with the ML model lifecycle (collection, annotation, training, evaluation, deployment).
- Experience on improving data quality via active learning, core set selection, etc. for images, videos, and text.
- Experience in uncovering patterns in data, setting performance targets, and leveraging modern statistical and ML-based methods to model data distributions, reduce redundancy, and address out-of-distribution samples.
- Strong programming skills in Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow.
- Ability to solve everyday problems in innovative ways.
- Ability to communicate effectively and collaborate with partner teams.
- Committed to encouraging an open and inclusive work environment.
Preferred Qualifications
- Experience programming in Swift is preferred.
- Experience with Core ML and iOS/macOS machine learning development is a plus.
- Experience with large datasets and distributed pipelines that leverage hardware accelerated compute is a plus.
- Experience with a complete software stack such as source control, build systems, and testing is a plus.
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 $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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