Cellular 4G/5G Firmware Data Science Expert
3 weeks ago
We are seeking a highly skilled Data Science and Machine Learning Engineer to join our Cellular 4G/5G Firmware team at Apple. As a key member of our team, you will be responsible for developing and implementing cutting-edge data processing pipelines and machine learning models to drive innovation in our cellular firmware.
Key Responsibilities- Design and develop state-of-the-art data processing pipelines using machine learning models and algorithms to parse large datasets and logs in a timely manner.
- Collaborate with Firmware Engineering teams to integrate and deploy machine learning models and data processing pipelines as part of our automation system.
- Work with a talented team to brainstorm new insights, develop models and algorithms, and solve complex problems that have a significant impact on our products.
- Master's degree in Data Science or Computer Science.
- Proficient Python developer with 3+ years of proven programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace.
- Good understanding of machine learning, deep learning, and natural language processing, with the ability to optimize machine learning models to adapt to solving various kinds of issues.
- Hands-on experience in implementing end-to-end machine learning projects.
- Ph.D. degree in Data Science or Computer Science.
- Proficient Python developer with 5+ years of validated programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace.
- Proven understanding of machine learning, deep learning, and natural language processing, with the ability to optimize machine learning models to adapt to solving various kinds of issues.
- Experience in developing machine learning models and/or deep learning models, feature engineering, and rich experience in implementing end-to-end machine learning projects.
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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