Senior Machine Learning Engineer for Data and AI Innovation at Apple
4 weeks ago
About the Role
We are seeking a highly skilled Senior Machine Learning Engineer to join our Data and Machine Learning Innovation (DMLI) team at Apple. As a key member of our team, you will be responsible for developing and applying innovative research in machine learning to tackle complex data annotation and product evaluation problems.
Key Responsibilities
- Apply foundational research in machine learning to automate data annotation and design human-in-the-loop evaluation systems.
- Work with a multidisciplinary team to build machine-based grading models that reduce annotation costs and turnaround time.
- Develop pipelines to automate the assessment of quality of data used for training foundational models and adapter models.
- Conduct research to improve efficacy of data curation through identifying grading errors, bias, distribution disparity between training and applications.
- Uncover patterns in data and use modern statistical and ML-based methods to model data distributions.
- Employ data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types.
Requirements
- 5+ years of experience with developing and evaluating ML applications and demonstrated experience in understanding and improving data quality.
- Experience writing automated unit, integration, and acceptance tests, and using continuous integration systems.
- Experience with database and SQL skills.
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.
Preferred Qualifications
- Proven expertise in machine learning with a passion for model evaluation and applications.
- Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
About Apple
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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