苹果AIML - Full Stack Software Engineer, Data & Machine Learning Innovation

Design and develop AI-driven applications, delivering scalable, user-focused solutions across web and mobile platforms.Build and maintain robust, cloud-based architectures, ensuring seamless integration of front-end and back-end systems with AI models.Prototype and implement new features, leveraging analytics, user insights, and market trends to improve product quality and user experience.Collaborate with product managers, designers, and data scientists to align technical solutions with product strategies and business goals.Drive technical innovation by exploring new technologies and frameworks, ensuring system performance, maintainability, and scalability.Mentor and support junior engineers, fostering a culture of collaboration, learning, and continuous improvement.

The Role We are seeking a highly motivated and skilled Full Stack Developer to join Tesla. The ideal candidate will have a strong foundation in full stack development, coupled with hands-on experience in building and deploying LLM (Large Language Model) Agents and a deep understanding of Machine Learning pipelines. Responsibilities • Design, develop and maintain scalable and efficient full stack applications especially for business intelligence (BI) reporting tool via Apache Superset, EChart or Dash. • Develop intuitive and performant user interfaces using React or Next.js. • Build and manage backend services using Python (FastAPI or Flask), with flexibility for Java (SpringBoot) . • Build, deploy and optimize LLM application like Agentic RAG for real-world use cases. • Design and implement containerized applications using Docker and orchestrate them with Kubernetes. • Integrate and optimize data analytical solution with Neo4j and MongoDB and Apache Airflow. • Collaborate with cross-functional teams to deliver high-quality software solutions.

• Lead hands-on design and development efforts primarily using Python, building robust, scalable, and customer-focused AI/ML solutions. • Engage directly with key enterprise customers to strategize, architect and implement AI driven, Agentic AI solutions leveraging Azure AI services including Azure OpenAI, Azure ML. • Translate complex requirements into practical, well-architected technical solutions. • Develop end-to-end, rapid prototypes, involving data ingestion, validation, processing, and model deployment using Azure platform components. • Build, customize, and optimize AI models and related components for customer-specific use cases. • Integrate AI solutions with full-stack architectures, preferably leveraging experience with JavaScript frameworks (e.g., Node.js, React) and/or .NET ecosystems. • Establish and maintain robust CI/CD and ML Ops pipelines, leveraging Azure DevOps, Github for automated deployments. • Proactively explore diverse datasets to engineer novel features and signals that significantly enhance ML performance. • Participate actively in every phase of the model lifecycle from conceptualization, training, fine tuning, validation, and deployment, to continuous monitoring and improvement.

The Role We are seeking a highly motivated and skilled Full Stack Developer to join Tesla. The ideal candidate will have a strong foundation in full stack development, coupled with hands-on experience in building and deploying LLM (Large Language Model) Agents and a deep understanding of Machine Learning pipelines. Responsibilities • Design, develop and maintain scalable and efficient full stack applications especially for MLOps Platforms and LLM Agents. • Develop intuitive and performant user interfaces using React or Next.js. • Build and manage backend services using Python (FastAPI or Flask), with flexibility for Golang (Gin). • Build, deploy and optimize LLM application like Agentic RAG for real-world use cases. • Design and implement containerized applications using Docker and orchestrate them with Kubernetes. • Collaborate with cross-functional teams to deliver high-quality software solutions.