Apple is looking to revolutionize embedded 6G/5G/4G/multimode cellular firmware development and silicon/FW integration by orchestrating the research, design, and implementation of groundbreaking AI/ML models, methodologies, and applications. The goal is to improve device performance across diverse modem functions and automate engineering development workflows using Gen AI and LLMs.
Requirements
- Hands-on experience in building, training, and deploying deep learning models, including LSTM, CNN, RNN, transformers.
- Practical experience and knowledge of applying ML/AI methods to real-world data analysis and usage scenarios, using generative AI and modern machine learning methods, particularly deep neural networks and reinforcement learning.
- Solid knowledge of software engineering principles and core computer science fundamentals and excellent proficiency in Python and C/C++.
- Knowledgeable in building architectures and incorporating SOTA LLMs into application frameworks.
- Experience in building Gen AI applications to solve real-world engineering problems, demonstrating techniques like RAG, Prompt engineering, and Fine-tunings.
- Familiarity with toolchains and packages like PyTorch, Langchain, CoreML, MLX.
- Experience with relational database (e.g Postgres), SQL, non-relational database (e.g.Mango DB) and vector DBs.
Responsibilities
- Develop and deploy innovative ML models on Apple Silicons, focusing on Cellular Modem algorithms and usage scenarios.
- Research, evaluate, design, and implement deep learning and Gen AI architectures to enhance inherent model performance.
- Apply these architectures to cellular modem firmware development and HW/SW system bring-up applications.
- Collaborate alongside internal multi-functional teams using expertise in machine learning to improve device performance across diverse modem functions.
- Demonstrate knowledge and hands-on experience to apply Gen AI and LLMs to improve engineering development workflow automation and efficiency.
- Build architectures and incorporate SOTA LLMs into application frameworks.
- Build Gen AI applications to solve real-world engineering problems, demonstrating techniques like RAG, Prompt engineering, and Fine-tunings.
Other
- Pursuing a Bachelor of Science in Electrical Engineering or related degree.
- MS with 5+ years or Ph.D. with 3+ years of industry experience in AI/ML.
- Experience in using various analytics and statistical methods for feature extraction and abstraction, to transform data into useful insights and actionable results.
- Top-notch abilities to conduct independent research, prototype, evaluate, and complete end-to-end design iterations.
- Embedded and HW/SW integration experience.
