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Apple Senior Machine Learning Engineer United States, California, Cupertino 731942951
01.06.2024
Description
In this role, you will conceptualize, design, and develop core algorithms that power our buy- flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for search, recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. In addition, you will lead and architect end-2-end complex systems in the field of Big data, Semantic search, Content management and Scalable Services with cross-functional impact. You will provide mentorship and leadership within division and influence beyond your own project to bring innovation and state-of-the art solutions.To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment. The team responsibilities include: model development and deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards.
Key Qualifications
- 6+ years related experience, including experience in machine learning
- Experience in Recommendation Systems, Personalization, Search, Computational Advertising or Natural Language Processing
- Strong programming skills in Java, C/C++, Python, or similar language Experience developing enterprise production machine learning models
- Excellent problem solving and analytical skills
- Strong communication and collaboration skills
- Passion for delivering business impact
- Experience with Spark, TensorFlow, Keras, and PyTorch a plus
- Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus
- Skilled in communication, problem solving, strategic thinking.
Education & Experience
Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
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 $170,700 and $300,200, 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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