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Apple Machine Learning Engineering Manager United States, Texas, Austin 573834988
18.11.2024
Description
RESPONSIBILITIES INCLUDE:- Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.- Stay up-to-date with emerging technologies, industry trends, and advancements in ML practices to find opportunities for improvement and innovation and effectively communicate with partners, providing regular updates on project status, progress, and any potential risks or challenges.
Minimum Qualifications
- 5+ years related experience in enterprise applications with 2+ years of managing large engineering teams.
- Ability to actively participate in investigations into realtime and offline analysis, draw conclusions from data, and recommend actions.
- Excellent leadership skills with a demonstrated ability to build and lead high-performing engineering teams.
- Experience enabling large-scale, high throughput and distributed customer facing applications.
Preferred Qualifications
- Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing, including RAG based Generative AI and transformer architecture.
- Experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc).
- Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.
Additional Requirements
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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