Machine Learning Engineer for Data and ML Innovation at Apple
7 days ago
We are seeking a highly skilled Machine Learning Engineer to join our ambitious Data and Machine Learning Innovation (DMLI) team at Apple.
This exciting role involves applying innovative research in machine learning to tackle complex data annotation and product evaluation problems. As a member of our multidisciplinary team, you will have the opportunity to work on groundbreaking research initiatives and develop transformative products that significantly impact future Apple products and the broader ML development ecosystem.
Key responsibilities include:
- Designing and developing machine-based grading models to reduce annotation costs and turnaround time.
- Building pipelines to automate the assessment of data quality used for training foundational models and adapter models.
- Conducting research to improve data curation through identifying grading errors, bias, and distribution disparity between training and applications.
- Uncovering patterns in data using modern statistical and ML-based methods to model data distributions.
The ideal candidate will have a strong background in machine learning, excellent collaboration and communication skills, and experience with developing and evaluating ML applications. A bachelor's degree in Machine Learning, Computer Science, Statistics, or related areas is required, while a Ph.D. is preferred.
At Apple, we offer a competitive salary range of $135,400 - $250,600, which is influenced by your skills, qualifications, experience, and location. In addition to base pay, our total compensation package includes benefits such as comprehensive medical and dental coverage, retirement benefits, and opportunities for career growth and development.
As an equal opportunity employer, we value diversity and inclusion, and we strive to create an environment where everyone can thrive. Join us in shaping the future of technology and innovation
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