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Apple AIML - Applied Machine Learning Engineer MIND United States, Washington, Seattle 127327590
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Description
As a team member, you will leverage your background to:- Develop features and models enhancing machine learning systems. This includes scaling up model training, building data pipelines, and optimizing performance.- Review and implement cutting-edge machine learning algorithms.- Work closely with cross-functional partners across the stack, including; Apps, Compilation, Hardware and etc.
Minimum Qualifications
- Proficient in Python and deep learning frameworks (e.g., PyTorch).
- Experience training ML models, including deep learning models.
- Expertise in large-scale data processing, distributed computing, and data engineering.
- Able to define metrics, evaluate ML models, and conduct error analysis.
- Bachelor's, Master's, or PhD in Computer Science or a related field.
Preferred Qualifications
- Experience shipping ML features and products.
- Familiar with cloud platforms (AWS, GCP).
- Experience modeling vision problems in object detection, facial recognition, and/or temporal machine learning.
- Experience building efficient ML models for on-device deployment
- Strong communicator with the ability to analyze complex and ambiguous problems.
- Familiar with ML model efficiency techniques (e.g., quantization, pruning) and their inference-time bottlenecks.
- Knowledge of recent advances in deep learning and computer vision.
- Proven track record of contributing to diverse teams in a collaborative environment
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 $135,400 and $250,600, 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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