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Apple SoC Machine Learning Software Engineer United States, California, Sunnyvale 86650170
21.04.2025
- 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.
- Proven 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 tackle real-world engineering problems, demonstrating techniques like RAG, Prompt engineering, and Fine-tunings.
- Familiarity with toolchains and packages like PyTorch, Langchain, CoreML, MLX.
- MS or Ph.D.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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