Cellular Data Science & Machine Learning Engineer

Role Number : 200626568-3543

Summary

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 best-in-class modem team, you’ll craft sophisticated, innovative embedded firmware that delivers more performance in our products than ever before. You’ll work across teams to transform improved hardware elements into a single, integrated design.

Join us, and you’ll help us innovate new wireless system 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?

Description

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 designing and productizing pioneering cellular SoCs.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience
• Proficient Python developer with proven programming skills using standard ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
• Good understanding of machine learning, deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues
• Experience in fine tuning LLM model with SFT, LoRA and other techniques
• Proven knowledge of reinforcement learning with experience in employing PPO / DPO / GRPO to enhance LLM model performance
• Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and the reduction of manual processes

Preferred Qualifications

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant.

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