Cellular 4G/5G Firmware Data Science

4 days ago

San Diego, California, United States Apple Full time
About the Role

We are seeking a highly skilled Firmware Data Scientist to join our team at Apple. As a key member of our cellular firmware team, you will be responsible for developing and implementing cutting-edge data processing pipelines and machine learning models to improve the performance and efficiency of our cellular products.

Key Responsibilities
  • Design and develop data processing pipelines using machine learning algorithms to analyze and optimize cellular network performance
  • Collaborate with firmware engineering teams to integrate and deploy machine learning models and data processing pipelines
  • Work with cross-functional teams to identify and prioritize areas for improvement in cellular network performance
  • Develop and maintain complex data models and algorithms to optimize cellular network performance
  • Conduct data analysis and provide insights to inform business decisions
Requirements
  • Masters 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
  • Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes
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
  • 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
  • Competitive salary and benefits package
  • Opportunity to work with a world-class team of engineers and data scientists
  • Access to cutting-edge technology and tools
  • Professional development opportunities
  • Flexible work arrangements

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