SoC Machine Learning Software Engineer
Apple
Software Engineering
Sunnyvale, CA, USA
Posted on Saturday, August 31, 2024
Summary
Posted:
Role Number:200565310
By collaborating with other product development groups at Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers worldwide. Join Apple’s world-class silicon development team as an ML SW Engineer on the Cellular FW team. As a key player, you will orchestrate the research, design, and implementation of groundbreaking AI/ML models, methodologies, and applications revolutionizing embedded 6G/5G/4G/multimode cellular firmware development and silicon/FW integration. In this role, you will be directly involved in our Cellular Modem firmware machine learning efforts, collaborating alongside our internal multi-functional teams and using your expertise in machine learning to improve device performance across diverse modem functions. Additionally, you will demonstrate your knowledge and hands-on experience to apply Gen AI and LLMs to improve engineering development workflow automation and efficiency. Your work will impact every Apple product, pushing the industry boundaries of what wireless systems can achieve with 6G and beyond!
Description
As an ML SW Engineer, you will be at the forefront of using AI/ML to transform cellular firmware development. Your responsibilities will include: - 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. - Work closely with multi-functional teams across Apple to drive innovation and improve the product experience for our customers worldwide.
Minimum Qualifications
- Minimum BS with 3+ years of proven experience.
- Hands-on experience in building, training, and deploying deep learning models, including LSTM, CNN, RNN, transformers.
- Have 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.
Key Qualifications
Preferred Qualifications
- MS with 5+ years or Ph.D. with 3+ years of industry experience in AI/ML.
- Experience with relational database (e.g Postgres), SQL, non-relational database (e.g.Mango DB) and vector DBs.
- 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.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.