4 days ago
Shanghai, ChinaSenior
Responsibilities
- Design, implement, and optimize analytical and AI solutions that deliver measurable impact within APO.
- Collaborate with data scientists, business analysts, and development teams to translate AI technologies into real-world applications.
- Translate business requirements into scalable and reliable AI solutions.
- Develop applications using generative AI models for use cases such as chatbots, NLP applications, and content generation.
- Develop multi-agent systems and support multi-agent coordination and AI system integration.
- Deploy and manage scalable AI platforms on cloud infrastructure.
- Fine-tune and optimize LLMs for specific use cases.
- Improve model evaluation pipelines and annotation programs.
- Present analyses and insights to leadership and drive improvements through data exploration and strategy research.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 5 years of relevant industry experience in AI application development, machine learning, or software engineering.
- Strong understanding of generative AI models, including LLMs such as GPT and BERT, and their real-world applications.
- Excellent software engineering skills, including modular and object-oriented design and familiarity with industry-standard development processes.
- Proficiency in Python, PHP, and Java, with Git experience preferred.
- At least 3 years of hands-on experience developing multi-agent systems or agent-based modeling, preferably with MAS platforms, NetLogo, or AnyLogic.
- Experience with multi-agent coordination platforms such as MCP or related frameworks.
- Experience deploying and managing scalable AI platforms on AWS, Azure, or GCP.
- Hands-on experience with LLMs such as Gemini, Claude, and GPT, including fine-tuning and optimization.
- Knowledge of TensorFlow, PyTorch, and scikit-learn and experience with MCP tools for multi-agent coordination and AI system integration.
- Ability to improve model evaluation pipelines and annotation programs, learn new skills, solve dynamic problems, communicate effectively, present to leadership, and structure complex analysis under ambiguity.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.