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 involves crafting sophisticated data processing pipelines using machine learning models to enhance product performance and improve the user experience across all Apple products. You will collaborate with various product development teams to push the boundaries of wireless technology and contribute to the design and productization of groundbreaking cellular SoCs.

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.
• Integrate and deploy ML models and data processing pipelines in collaboration with firmware engineering teams.
• 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.