Machine Learning Engineer, Data Science / Analytics Lead and Manufacturing Decision Support
Location: Cupertino, California
Type: Full Time
Preferred Education: Masters
Computer Software Engineering
3 openings available.
Internal Number: 200298101
Location: Cupertino, CA
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 at Apple by developing an extraordinary platform for our Operations team?
Apple is a data-centric company where many critical decisions are made based on data. The completeness, accuracy and timeliness of data has huge implication to our decision-making. Every shipped Apple product undergoes rigorous testing at our factories to ensure the best customer experience. Our team handles the collection and reporting of all manufacturing data.
Machine Learning Algorithm Engineer
Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role.
Collaborate with fellow ML engineers, robotics/automation specialists, manufacturing and product development engineers to apply Machine Learning solutions to industrial problems and situations
Work with other ML engineer and program manager, analyze huge amounts of real-world production data to formulate the problem, propose modeling solutions. Your solution can be traditional ML (regression, classification) and/or Deep Learning .
Prototype and package your solutions in Python and/or C/C++/Objective-C towards roll-out of a data automation system
Participate Apple’s ML community activities and share your findings/innovations
Research and improve existing ML algorithms for various applications (images, and/or non-image ML algorithms )
You are encouraged to apply if you meet one of the below three requirements
Good knowledge and hands-on experience in image ML and computer vision
Good knowledge and hands-on experience in traditional ML (regression, classification, tree-ensembles, etc) for non-image data
Operation Research experts with some understanding of ML.
Strong software development skills with proficiency in Python, familiar with Git. Experienced user of machine learning and statistical-analysis libraries, such as scikit-learn, scipy, NetworkX, Spacy, and NLTK
Hands-on experience with design, implementation and application of ML/AI/Deep Learning solutions and techniques to build models that solve real problems.
Strong in communication and presentation skill.
[Plus] Experience of applying ML to industrial or manufacturing environments is a plus.
[Plus] Experience applying deep learning frameworks, such as PyTorch/Torch, Caffe2, TensorFlow, Keras, Theano to real world applications that solve problems
Data Scientist DFM
Apple products are as beautiful on the inside as they are on the outside. Inside every one of our products, are some of the world's most challenging consumer PCBA and Flex designs. Come join the team that brings these assemblies from concept to high volume manufacturing.
As a DFM Data Scientist you will drive and lead business insights, presenting concisely data findings to peers, managers, directors, and VPs
Experience developing and deploying Manufacturing data and automation tools for quality and efficiency improvements of factories/suppliers
Lead projects or project team to understand business objectives and propose impactful solutions.
You should have familiarity in one of the following: Data science, Data mining, Multivariate statistics, Machine learning, or Computer Vision
3+ years of process development experience in an applicable field (SMT, component assembly, test)
Experience in data mining very large data sets, high proficiency in SQL (Teradata, SQL, Oracle, or MySQL or other RDBMS.)
Data visualization experience with tools such as: Tableau, JMP, R creating dashboards and presenting data through reports.
Capability and willingness to travel, i.e. >10%.
This is a key position for our Design for Manufacturing team that is a focal point for analyzing design and factory data to develop an accurate statistical model to help make
significant decisions regarding design decision, cost reduction, and factory efficiency.
This engineer will also help identify new perspectives for old and new data and present meaningful data visualization across various involved teams.
Individual will find opportunities to develop tools that will improve the work flow and efficiency of the engineering department.
• Work with a multi-functional team to define requirements and suitable metrics for the performance of new products and process
• Drive and deliver results as well as to self-manage in a pure development role
• Experiment design, analyze data and build analysis tools
• Use your excellent analytical skills, advanced level of statistics to identify and predict trends and anomalies
• Employ statistical techniques with big data initiatives and tools to drive major operational business decisions
• Seek opportunities to improve data collection, reporting, analytics and consumption based on business
Manufacturing Decision Support
Operations Research Scientist
The iPhone Capacity Planning team is a high impact and well valued team. From capital equipment planning, business allocation, production line planning to labor planning, the outcome of this team’s work influences key inputs for multi-billion dollar budgets and navigates complex operational challenges by working closely with supply demand planning, operation/technical program management, CapEx management, quality, infrastructure, AppleCare, procurement and our contract manufacturing partners.
On a day to day basis the team plays a meaningful role in defining and leading strategic and operational priorities as well as improvements across the iPhone and Core Technologies organization. The ideal candidate will help us to go further into the areas of deep data analytics and operations research in order to drive decision support.
Experience planning supply chain and operational structures in complex and dynamic environment.
Hands-on experience in complex data modeling, simulation and optimization.
Experience in developing solutions for open ended projects with multi-cross functional teams, preferably in the context of factory operations
Experience with data acquisition tools, large datasets and data mining
Experience in relevant coding languages: C/C++, R, or Python
Solid understanding of optimization tools such as: CPLEX, AMPL, Gurobi or FICO Xpress.
Working knowledge of predictive modeling
Self-sufficient with an ability to excel in an environment of autonomy amidst ambiguity. Identify areas within operations that would benefit from your analysis and feedback.
Strong communication and analytical skills - adept at messaging domain and technical content, at a level appropriate for the audience.
Data analytics — taking tons of data and helping build out or select tools to analyze production, capacity, lead times, cost structures, etc.
Data modeling, simulations or optimization tools like Gurobi, Cplex or Xpress
Programming experience with Java, C++, Python or Perl
Excellent communication skills, both verbal and written
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible. And every new product, service, or feature we invent is the result of people working together to make each other’s ideas stronger.