SummaryPosted: Nov 18, 2024Weekly Hours: 40 Role Number:200574104Imagine what you could do here. At Apple, innovative ideas have a way of quickly becoming extraordinary products, services, and customer experiences. This is where individual imaginations and experiences gather together that leads to great work. Bring passion and dedication to your job and there's no telling what you could accomplish! The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! JOB SUMMARY: As a MQA Intern focusing on data analysis and optimization, you will work closely with the team to understand data-driven challenges and analysis needs. Our primary focus is developing applications such as algorithms research, workflow optimization, predictive analytics, and other data-driven tools that empower the MQA team to streamline workflows, enhance efficiency, and reduce costs. Your contributions will directly impact the success of our projects, and your innovative thinking will help shape the future of AI in the manufacturing industry. DescriptionDescriptionYou will be directly responsible for building innovative applications to transform the manufacturing industry, focusing on compliance analysis and anomaly detection, leveraging your expertise in statistics and machine learning. - Design and optimize data-driven applications for supply chain compliance, anomaly detection, and commonality analysis. - Integrate ML models to improve pattern detection and process optimization. - Develop optimization models using KKT and other constraint-based techniques for efficiency gains. - Research the latest in data analysis, machine learning and optimization, proposing innovative solutions for our projects. Minimum QualificationsMinimum QualificationsFoundational knowledge in mathematics and statistics is required.Working knowledge of Python and experience in data analysis, anomaly detection, and commonality analysis.Strong understanding of machine learning (ML) and deep learning (DL) methodologies.Familiarity with ML frameworks like TensorFlow or PyTorch for developing and deploying models.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with optimization models, including constraint-based techniques such as KKT.Experience with cloud-based computing platforms like AWS/GCP/Ali-Cloud is a plus.Understanding of the manufacturing industry and its challenges is a plus.Experience with optimization tools such as SciPy, CVXPY, or other similar libraries is strongly preferredStrong problem-solving and analytical skills, with a focus on real-world applications.Excellent communication and collaboration skills, able to work effectively in a team environment.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore