MLE-Intern

Summary Posted: Oct 17, 2023 Weekly Hours: 40 Role Number: 200509634 As part of Apple's AI and Machine Learning org, we inspire and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. The Data and Machine Learning Innovation (DMLI) team is looking for a hardworking 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 orchestrate groundbreaking research initiatives and develop transformative products crafted to build a significant impact for billions of users worldwide. Key Qualifications Key Qualifications Demonstrated expertise in machine learning with a passion for data-centric machine learning Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers Staying on top of emerging trends in LLMs Strong programming skills and hands-on experience using the following languages or deep learning frame works: Python, PyTorch, or Jax Strong problem-solving and communication skills Proven publication record in relevant conferences (e.g. NeurIPS, ICML, ICLR, CVPR, etc) is a plus Available for 9+ months for internship Description Description As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in ML 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 curation framework. You will also build robust model evaluation pipelines, integral to the continuous improvement and assessment of ML models. Additionally, your role will entail an in-depth analysis of collected 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. Your work may span a variety of topics, including but not limited to: - Crafting and implementing semi-supervised, self-supervised representation learning techniques for improving the power of both limited labeled data and large-scale unlabeled data. - Developing evaluation protocols centered on the end-to-end user experience, with a focus on anticipating potential failure modes, edge cases, and anomalies. - Employing data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, 3D models, natural language, and audio. - Uncovering patterns in data, setting performance targets, and leveraging modern statistical and ML-based methods to model data distributions. This will aid in reducing redundancy and addressing out-of-distribution samples. Education & Experience Education & Experience Pursuing a Ph.D degree in Machine Learning, Computer Vision, Natural Language Processing, Data Science, Statistics or related areas. Additional Requirements Additional Requirements Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.