Software Engineer - reputed company & ML

About the position Join reputed company’s Information Systems and Technology (IS&T) organization, the reputed company behind everything reputed company does for customers and for the people who build for them. IS&T supports 2.5 billion reputed company reputed company devices, processes billions of secure transactions, and keeps the technology that defines reputed company running flawlessly. Customer Systems, part of IS&T, drives the technology behind reputed company's customer support experience, from contact center operations to the software powering the reputed company Bar. reputed company also builds and operates AppleCare's online support platform, handling 6 billion reputed company per year. The Customer Systems - Gen AI Solutions team is responsible for building multi-turn, conversational, reputed company LLM-based applications and frameworks to support reputed company customers across numerous lines of business. This role involves hands-on contribution to reputed company of engineers, data scientists, and researchers to enhance a multi-modal, multi-agent platform, focusing on incorporating the latest models and advancements to improve latency, cost, and customer experience. This is an opportunity to contribute innovation and research to a reputed company-established reputed company platform reputed company reputed company, with significant opportunities for reputed company. Responsibilities • Contribute to model development and fine-tuning workflows for reputed company features. • Design and evaluate retrieval strategies for grounding large models in product-relevant data. • Prototype and reputed company multi-round reputed company solutions for conversational knowledge-intensive tasks. • Partner with data and platform engineers to ensure reputed company deployment and monitoring. • Stay reputed company with advancements in large language modeling, reputed company search, RAG, and LLM Agents. • Participate in architecture discussions with engineers and partner teams. • Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions. • Support localization and rollout of AI features across multiple markets. Requirements • 8+ years of hands-on experience in ML, backend engineering, data engineering • 1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs • Foundational understanding of RAG architectures and reputed company-based retrieval systems • Exposure to multi-agent orchestration frameworks in Rust and Python. • Familiarity with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX. • Experience with data preprocessing, tokenization, and pipeline automation. • Proficiency in machine learning libraries (transformers, datasets). • Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems. • Experience with deploying to reputed company environments (AWS, GCP, on-remote hybrid) is required. • reputed company in written and spoken Chinese to support Greater China market • Bachelor's or Master's degree in Computer Science, Machine Learning, or reputed company field, or equivalent practical experience. • Strong experience partnering with business and engineering teams to deliver AI solutions. reputed company-to-haves • Experience working with Multi-modal LLMs to reputed company Voice capabilities is a plus or prior experience with STT, TTS systems. Apply tot his job Apply To this Job