ML & Firmware Engineer for SoC on Silicon

Apple Inc.

Sunnyvale (CA)

On-site

USD 129,000 - 195,000

Full time

9 days ago

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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Stock programs
Relocation assistance
Tuition reimbursement

Job summary

Apple Inc. is seeking an ML SW Engineer to drive AI/ML-powered cellular firmware development on Apple Silicon. You will develop and deploy models, research DL architectures, and apply Gen AI methods to improve modem firmware performance and HW/SW bring-up.

The role requires a strong background in deep learning, Python/C++, and experience with modern ML toolchains, with Apple benefits and relocation support.

Qualifications

  • Pursuing a Bachelor of Science in Electrical Engineering or related degree.
  • Hands-on experience in building, training, and deploying deep learning models, including LSTM, CNN, RNN, transformers.
  • Experience applying ML/AI methods to real-world data analysis and usage scenarios, using generative AI and deep neural networks.
  • Strong proficiency in Python and C/C++ with solid CS fundamentals.
  • Knowledge of building architectures and incorporating SOTA LLMs into application frameworks.
  • Experience with Gen AI applications: RAG, Prompt engineering, and Fine-tunings.
  • Familiarity with PyTorch, Langchain, CoreML, MLX.

Responsibilities

  • Develop and deploy ML models on Apple Silicon, focusing on Cellular Modem algorithms.
  • Research, evaluate, design, and implement deep learning architectures for firmware and HW/SW bring-up.

Skills

Python
C/C++
Deep learning
LLMs
RAG
Prompt engineering

Education

Bachelor's degree in Electrical Engineering or related

Tools

PyTorch
Langchain
CoreML
MLX

Job description

Apple Inc. is seeking an ML SW Engineer to drive AI/ML-powered cellular firmware development on Apple Silicon. You will develop and deploy models, research DL architectures, and apply Gen AI methods to improve modem firmware performance and HW/SW bring-up.

The role requires a strong background in deep learning, Python/C++, and experience with modern ML toolchains, with Apple benefits and relocation support.

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