SoC Machine Learning Software Engineer
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
- 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.
- 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.
- 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 ( 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.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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