Cellular 4G/5G Firmware Data Science Expert

4 weeks ago

Sunnyvale, California, United States Apple Full time
About the Role

We are seeking a highly skilled Data Science & Machine Learning Engineer to join our team at Apple, where you will play a critical role in developing state-of-the-art data processing pipelines and leveraging machine learning models to drive innovation in our cellular firmware.

Key Responsibilities
  • Design and develop data processing pipelines using machine learning models to parse large datasets and logs in a timely manner.
  • Collaborate with FW engineering teams to integrate and deploy ML models and data processing pipelines as part of our automation system.
  • Work with a talented team to brainstorm new insights, develop models, and algorithms to solve complex problems with significant impact.
Requirements
  • 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, 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 of 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.
  • Experience in using analytics and statistical methods to transform data into useful insights and actionable results.
  • Experience with relational database (e.g. Postgres), SQL, and non-relational database (e.g. Mango DB).
  • Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.
  • Strong critical thinking and interpersonal skills with the ability and desire to learn and evaluate new technologies.
What We Offer

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, commission payments, and relocation assistance. Our benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses. We are an equal opportunity employer committed to inclusion and diversity, and 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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