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Apple SoC Machine Learning Software Engineer United States, California, Sunnyvale 86650170
18.11.2024
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.
- 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.
Preferred Qualifications
- 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.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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