苹果Machine Learning Engineer - Generative AI & Agents
社招全职Sales and Business Development地点:北京状态:招聘
工作描述
任职要求 Minimum Qualifications AI & Agent Architecture: Deep understanding of Large Language Models (LLMs), prompt engineering, and hands-on experience building autonomous agents or multi-agent orchestration frameworks. LLMOps & Agent Harness: Practical experience building agent evaluation harnesses, automated testing frameworks, and monitoring pipelines to track hallucination rates, safety metrics, and overall LLM reliability. System Design: Proven experience in designing scalable software systems, integrating LLMs with external environments (APIs, databases, enterprise tools), and managing complex conversational state/memory. Machine Learning: Understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimization, computer vision, NLP, LLM, recommendation system, and Auto ML. Programming Language: Strong ability to implement AI pipelines and scalable applications in Python (essential), along with familiarity in Scala, Java, or C++. Communication & Presentation: Superior verbal and written communication skills, with the ability to convey meticulous architectural concepts and AI considerations to non-expe…
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包括英文材料
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
Scala+
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