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Apple AIML - Sr Data Scientist Smart Home Devices United States, Washington, Seattle 57504895
18.11.2024
Description
As a Sr Data Scientist for Smart Home Devices, you will use statistical analysis of unstructured & structured data to deepen our understanding of how people use devices in the home environment including; iPhone, HomePod, Mac, and new products yet-to-be-released, and across use cases from music to home automation and general knowledge discovery. You will be responsible to: * Develop instrumentation & measurement framework that guide iterative product improvement for ML-based user experiences. * Employ a diverse toolkit of analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve user experience of ML based products. This includes insights on the performance of the underlying machine learning models that power feature experiences. * Develop tools with scalable analytical and engineering approaches that drive a privacy-first strategy for analytical insight. * Investigate product usage to identify weaknesses and opportunities to make the product better. * Work cross-functionally with Engineering, Machine Learning and Product partners across the AIML ecosystem to ship ML-based features.
Minimum Qualifications
- Proficiency analyzing unstructured data, specifically video & audio signals, for object detection, pattern recognition, feature extraction and segmentation.
- Expertise in designing metrics, and conducting metric change analysis to measure impacts to user experiences.
- Ability to analyze large & complex datasets using SQL and Python.
- Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work.
- High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- Strong verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
- Experience in cultivating partner relationships and influencing decisions with data.
- Master’s Degree in a technical or quantitative field such as; Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Preferred Qualifications
- Familiarity with deep learning frameworks like PyTorch
- Experience with shipping ML features and products
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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