{"title": "Machine Learning Engineer", "summary": "Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques? This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products' supply chain.", "description": "Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple\u2019s supply chain and manufacturing processes. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company.", "key_qualifications": "4+ years experience formulating complex business problems into actionable data solutions.\n4+ years hands-on experience in building large scale ML systems to solve real world problems.\nStrong communicator and experience with communicating complex ML outcomes to non-technical engineers.\nIntuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics.\nExperience working with large scale and real world datasets.\nExperience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch.\nExperience with ML in manufacturing and operations spaces are pluses. In particular, working with extensive and messy manufacturing data set, as well as deploying production ready model to the factory.\nStrong programming skills with 4+ years experience in Python for ML.\nExperience with full-stack ML development (e.g., Flask, JavaScript) and productionalizing ML system using AWS.\n= NICE TO HAVE =\nExperience with Operations Research (OR) and linear & nonlinear constrained optimization.\nWork experience in machine data (sensors, downtime, machine states, etc) for IoT & predictive maintenance applications.\nExperience with manufacturing and supply chain ML use cases such as test optimization, cost reduction, and quality improvement.", "preferred_qualifications": "", "education_experience": "Master\u2019s or PhD degree in Computer Science, Math, Statistics, Physics, Engineering or related level of experience required.", "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.", "pay_benefits": "", "company": "apple"}