苹果Machine Learning Engineer, CDA Team
任职要求
Minimum Qualifications • Profound understanding and hands-on experience in machine learning, deep learning or reinforcement learning. • Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++. Familiar with deep learning frameworks such as PyTorch or TensorFlow. Preferred Qualifications • Strong capability to ext…
工作职责
Engage with others to find opportunities, understand requirements, and translate those requirements into technical solutions Devise machine learning strategies, employing established methods or crafting custom algorithms to address specific business challenges. Communicate analysis findings to non-technical business partners or executives. Research and evaluate new technologies and proven understanding of GenAI concepts and techniques, including RAG, Fine-tuning, RL, Agent, etc. Supervise operational and business metrics, detect adverse trends, recognize behavioral patterns, and respond with agile logic adjustments.
Collaborate & Innovate – Work closely with cross-functional teams to identify opportunities, gather requirements, and transform challenges into scalable technical solutions. Design Advanced Models – Develop state-of-the-art data science and machine learning approaches, leveraging proven methodologies or creating custom algorithms tailored to business needs. Build Robust Systems – Partner with data engineers and platform architects to implement high-performance, real-time and batch decisioning solutions. Communicate Insights – Present findings to business stakeholders and executives, ensuring data-driven strategies translate into meaningful business outcomes. Explore & Evolve – Stay at the forefront of technological advancements by researching new techniques across data science, engineering, and visualization to continuously refine the team’s capabilities.
Responsibilities: - Participate in system design, architecture, and software development of the search and recommendation function. - Design, develop, test, deploy, maintain, and enhance high-quality code and solutions. - Perform code reviews to optimise the technical performance of the solutions. - Influence and coach a distributed team of engineers.
Job Description： 1.Optimize the recommendation quality and user profile in Mi.com website, provide users the best shopping experience； 2.Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the recommendation result metrics； 3.Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products.
• Candidate will be responsible for: • - Collaborate with senior engineers to design and develop ML tools for data processing, analysis, and visualization. • - Integrate and validate machine learning models on Apple new product introduction (NPI) process and mass production. • - Develop and implement automated pipelines for model training and evaluation. • - Conduct experiments to evaluate the effectiveness of different models and algorithms. • - Participate in code reviews, testing, and documentation to ensure high-quality and maintainable code. • - Keep up-to-date with the latest advancements in machine learning and data science techniques.