Cellular 4G/5G Firmware Data Scientist

3 weeks ago

Sunnyvale, California, United States Apple Full time
Cellular 4G/5G Firmware Data Science & Machine Learning Engineer

At Apple, we're pushing the boundaries of what's possible with wireless systems technologies. As a Cellular 4G/5G Firmware Data Science & Machine Learning Engineer, you'll be at the forefront of this innovation, crafting sophisticated embedded firmware that delivers unparalleled performance in our products.

About the Role

This is a unique opportunity to join a world-class modem team and contribute to the development of cutting-edge cellular SoCs. You'll work closely with firmware engineering teams to integrate and deploy machine learning models and data processing pipelines, driving automation and reducing manual processes.

Responsibilities
  • Develop state-of-the-art data processing pipelines based on machine learning models and leverage data science algorithms to parse substantial data and logs in a timely manner.
  • Partner with firmware engineering teams to integrate and deploy ML models and data processing pipelines as part of the entire automation system.
  • Work with an amazing team to brainstorm new insights, develop models and algorithms, and solve complex problems that have a significant impact.
Requirements
  • Master's degree in Data Science or Computer Science.
  • Proficient Python developer with 3+ years proven programming skills using standard ML tools such as PyTorch, TensorFlow, HuggingFace.
  • Good understanding of machine learning, deep learning (including LLMs) and natural language processing and 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.
Preferred Qualifications
  • Ph.D. degree in Data Science or Computer Science.
  • Proficient Python developer with 5+ years validated programming skills using standard ML tools such as PyTorch, TensorFlow, HuggingFace.
  • Proven understanding of machine learning, deep learning (including LLMs) and natural language processing and 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.
What We Offer

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, commission payments, and relocation assistance. You'll also receive benefits such as comprehensive medical and dental coverage, retirement benefits, and reimbursement for certain educational expenses.

We're an equal opportunity employer 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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