苹果AIML -Machine Learning Engineer, Answers, Knowledge & Information
任职要求
Minimum Qualifications • BS/MS in Computer Science or equivalent with 3+ years of industry experience. • Solid experience in various facets of data mining, deep learning, natural language processing, and large language models. • Solid programming experience in one or more of the following: Java, C++, Python, or equivalent. • Excellent communication skills and ability to interact with all levels of engineers. Preferred Qualifications • Hard-working, self-starter, proven ability to manage multiple projects to strict deadlines. • Intimate knowledge of the Greater China region and its culture. • Good interpersonal skills and great team player • Strong written and verbal communication skills • Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
工作职责
The objective of this role is to elevate Apple’s voice assistant and search to a new level of intelligence and accuracy through the application of advanced techniques. This encompasses various areas such as enhancing data management, optimizing pipeline processes, improving services, and refining modeling algorithms. Additionally, the team collaborates closely with other engineers to swiftly develop experiments and implement prototypes. By consistently tackling novel challenges, they strive to create a remarkable product that prioritizes accuracy, usability, and optimal performance. This unique opportunity at the forefront of machine learning and software engineering combines a diverse set of skills and innovation. Your work will have a profound impact on hundreds of millions of users worldwide.
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.
• Understand the failure background and design creative investigation plans • Conduct investigations, including but not limited to operating a variety of advanced electrical fault isolation tools • Report findings and actively participate in discussions and debates with colleagues to determine next steps, conclusions, and corrective actions • Present data in global meetings and executive reviews
Join NVIDIA’s Security Team as Manager of our China Security Operations Center (SOC), safeguarding the discoveries that power AI, accelerated computing, autonomous machines, and gaming worldwide. Based in mainland China, you will lead analysts who detect, investigate, and contain threats. Your blend of technical depth and empathetic leadership will keep local operations fully aligned with PIPL and other relevant Chinese cybersecurity regulations while sharing intelligence with NVIDIA’s global defenses wherever lawful. Harnessing short Scrum cycles, you’ll drive rapid improvements—from tuning detections to automating playbooks—so every sprint delivers measurable risk reduction. If decisive action, analytical grit, and cross‑functional collaboration excite you, we invite you to craft the future of security at NVIDIA. Resilience emerges where clarity, speed, and trust converge! Ready to convert expertise into agile defenses that keep NVIDIA’s innovations safe?You lead with confident vitality, turning sophisticated threats into clear, time‑boxed objectives and empowering your team to act. Anchored in Agile values, you favor individuals and interactions, working solutions, and fast feedback—ensuring each sprint delivers customer value without sacrificing real‑time response. Data grounds your decisions, passion energizes partners, and steady support nurtures growth even as you set the standard. What you’ll be doing: • Guide, mentor, and develop SOC analysts in China, encouraging a high‑performance, inclusive culture. • Architect and continuously improve monitoring, detection, and response across on‑prem, hybrid, and multi‑cloud environments and protect GPU‑accelerated AI/ML pipelines. • Run the team in Scrum: facilitate planning, stand‑ups, reviews, and retrospectives; maintain a transparent backlog ordered by risk reduction and customer value. • Embed PIPL and other relevant Chinese cybersecurity regulations into day‑to‑day SOC processes, partnering with Legal and Compliance teams while supporting global collaboration where permissible. • Define, track, and act on metrics (MTTD, MTTR, sprint velocity) and operate staffing/on‑call schedules that balance 24 × 7 coverage with follow‑the‑sun hand‑offs. • Evaluate and integrate China‑compliant security tooling and automation, sharing threat intelligence and capabilities with the wider NVIDIA SOC as regulations allow.
• Architect Performance Tooling: Develop infrastructure tools/libraries for GPU performance analysis, visualization, and automated workflows used across GPU SW/HW development life cycle. • Unlock Architectural Insights: Analyze GPU workloads to identify bottlenecks and define new hardware profiling features that enhance perf debug and profiling capabilities. • AI-Powered Automation: Build AI/ML-driven tools to automate performance analysis, generate perf optimization guidance, and improve user experience of profiling infrastructure. • Cross-Stack Collaboration: Partner with kernel developers, system software teams, and hardware architects to support performance study, improve CUDA software stack, and co-design performance-centric solutions for current and next-generation GPU architecture