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

at  Apple

SUMMARY

Posted: Jul 25, 2024
Role Number:200560486
Do you have a passion for invention and self-challenge? Do you thrive with pushing the limits of what’s considered feasible? As part of a world class modem team, you’ll craft sophisticated innovative embedded firmware that deliver more performance in our products than ever before! You’ll work across subject areas to transform improved hardware elements into a single, coordinated design. Join us, and you’ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular 4G/5G Firmware Data Science & Machine Learning Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for crafting and productizing groundbreaking cellular SoCs.

DESCRIPTION

Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem. In addition, you will be closely partnering with FW engineering teams in integrating and deploying ML models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team, brainstorm new insights, and develop models and algorithms to solve complicated problems that have a significant impact.

• 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
• 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

• 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
• Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processe