Cellular 4G/5G Firmware Data Science & Machine Learning Engineer

$135,400 - $250,600/Yr

Apple - San Diego, CA

Full-time - Mid Level

San Diego, CA

Computer and Electronic Product Manufacturing

About the position

As a Cellular 4G/5G Firmware Data Science & Machine Learning Engineer at Apple, you will be integral to the development of innovative embedded firmware for cellular systems. This role focuses on creating advanced data processing pipelines using machine learning models to enhance the performance of Apple's wireless technologies. You will collaborate with firmware engineering teams to integrate and deploy these models, ultimately improving the debugging process and product experience for customers worldwide.

Responsibilities

• Develop state-of-the-art data processing pipelines based on machine learning models.
• Leverage data science algorithms to parse substantial data and logs in a timely manner.
• Automatically tackle issues or provide recommendations for problem-solving.
• Collaborate with firmware engineering teams to integrate and deploy ML models and data processing pipelines.
• Deliver analysis results to benefit firmware engineers in debugging issues.
• Brainstorm new insights and develop models and algorithms to solve complex problems.

Requirements

• Master's degree in Data Science or Computer Science.
• Proficient Python developer with 3+ years of programming experience using standard ML tools such as PyTorch, Tensorflow, and HuggingFace.
• Good understanding of machine learning, deep learning (including LLMs), and natural language processing.
• Hands-on experience in implementing end-to-end machine learning projects.
• Ability to think creatively and identify, build, and support solutions focused on automation.

Nice-to-haves

• Ph.D. degree in Data Science or Computer Science.
• Proficient Python developer with 5+ years of programming experience using standard ML tools such as PyTorch, Tensorflow, and HuggingFace.
• Experience in developing machine learning and deep learning models, feature engineering, and implementing end-to-end machine learning projects.
• Experience with relational databases (e.g., Postgres), SQL, and non-relational databases (e.g., MongoDB).
• Strong critical thinking and interpersonal skills.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.