职位描述：
Summary：
As part of Apple’s AI and Machine Learning org, we inspire and create groundbreaking technology for large language models, multi-modal models, with strong agent and reasoning capabilities. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to create a significant impact for billions of users worldwide.
Description：
As a Machine Learning Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in foundation models to tackle complex data problems. The solutions you develop will significantly impact future Apple products and the broader ML development ecosystem.
You will work with a multidisciplinary team to actively participate in the data-model co-design and co-development practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for foundation models at Apple. You will also be responsible to create robust model evaluation pipelines, integral to the continuous improvement and assessment of foundation models. Additionally, your role will entail an in-depth analysis of multi-modal data to underscore its influence on model performance.
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.
职位要求：
Minimum Qualifications：
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
Deep understanding of multi-modal foundation models.
Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX.
BS/MS in STEM with 7+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.
Preferred Qualifications：
– Deep understanding of multi-modal foundation models.
– Staying up-to-date with emerging trends in generative AI and multi-modal LLMs.
– The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively.
– Hands-on mentality to own engineering projects from inception to shipping products and the ability to work independently and as part of a cross-functional team.
– Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).
– Track records of adopting ML to solve cross-disciplinary problems.
– Demonstrated leadership in advancing machine learning research and development, including driving innovative projects, mentoring team members, or leading collaborations that resulted in impactful outcomes.
招聘部门：
Apple Machine Learning and AI
工作地点：
Shanghai, Shanghai, China
注意：为了确保您掌握真实的招聘信息，上述信息均为原始内容。我们的“面试建议”和“模拟面试”均基于原始招聘信息设计和提供。
面试建议：
Apple的AIML – Machine Learning Engineer职位是一个极具挑战性的角色，它要求候选人不仅具备扎实的机器学习技术基础，还需要在多模态基础模型和数据为中心的机器学习方面有深入的理解。这个职位的特殊性在于它强调将前沿研究转化为实际产品的能力，同时要求候选人在学术和工业界都有出色的表现。面试官会特别关注候选人在多模态数据处理、模型评估以及解决实际ML挑战方面的经验。 为了准备这个面试，建议候选人重点准备自己在多模态基础模型方面的项目经验，尤其是那些能够展示你如何从数据收集到模型训练再到产品落地的完整案例。同时，准备好讨论你在顶级学术会议上的发表记录，以及你如何将这些研究成果应用到实际产品中。此外，面试官可能会考察你的团队协作能力和领导力，因此准备一些你如何与跨职能团队合作或领导项目的例子会非常有帮助。最后，保持对生成式AI和多模态LLM最新趋势的了解，展示你对行业动态的敏锐洞察力。
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