Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. 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 inspires 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. Our team is responsible for the development of the inspection equipment that determines if a product meets Apple's high standards across all of the mechanical portion of hardware we make - iPhone, Mac, iPad, Watch and others.
Description
- Collaborate with mechanical and quality engineers to apply machine learning and computer vision to industrial problems and manufacturing situations
- Develop and deploy ML models for inspection equipment responsible for judging millions of units per day in challenging production environments
- Identify opportunities in production and development processes to apply machine learning tools for improvements
- Develop toolkits to guide application of machine learning combined with statistical tools for engineers
- Assemble and analyze large data sets through SQL-based querying or development of scripts and code-modules to collate distributed and disparate data sources
- Apply pattern detection and anomaly identification techniques to measures of interest Proof-of-concept application of ML methods, Neural Networks, and Computer Vision for prescriptive/predictive applications
- Develop software components in Python, Java, and/or C/C++/Obj-C towards roll-out of data automation systems
- Work with 2D/3D triangulation laser systems and/or CCD inspection systems (Halcon, Keyence, Cognex, Visco)
- Balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates
- Occasionally wear multiple hats: technical project manager, database specialist, and optics improvement specialist
Minimum Qualifications
12+ years of solid hands-on experience applying machine learning and/or computer vision techniques to build models integrated into industrial/manufacturing applications Experience with image processing and using ML tools to identify patterns in images, specifically applied to industrial or manufacturing environments Experienced user of machine learning and statistical-analysis libraries such as GraphLab Create, Turi Create, scikit-learn, scipy, PyTorch, Keras, NetworkX, Spacy, and NLTK Strong software development skills with proficiency in Python Strong working knowledge of ML algorithms including decision trees, probability networks, association rules, clustering, regression, neural networks, CNNs, and object detection Familiarity with mechanical metrology system qualification processes (GRR, Correlation, Stability, Reliability) Basic understanding of manufacturing processes (CNC, modeling, laser welding, etc.) Ability to explain and present analyses and machine learning concepts to a broad technical audience Ability to travel internationally to manufacturing sites – 25-50% BS in a related engineering field
Preferred Qualifications
Experience with deep learning frameworks such as mxnet, Torch, Caffe, and TensorFlow Experience with cloud computing platforms (AWS) and deployment tools like Docker Experience building Software ML solutions from inception to production Proficiency with CLI, Linux and Unix shell scripting Data visualization, data analytics, and data mining experience International team leadership experience (academic or professional) Knowledge of basic networking concepts and protocols (TCP/IP, HTTP, etc.) Understanding of optics, image acquisition, software filtering and judgment algorithms Intermediate knowledge of automation including system layout, architecture, and cycle time optimization Proven track record for self-study and self-exploration into new tools and techniques Ability to analyze existing database schema DDL/instance layout and determine migration impacts Strong interest in technical details while maintaining grasp of the big picture as it relates to overall product quality High level of autonomy and influence to unblock delivery of results across various teams Applied background in Hadoop, Spark, Hive, Cassandra, and knowledge of R is a plus Strong analytic problem-solving skills and aptitude for learning systems quickly Creative collaboration skills Proficient use of English both written and oral MS in related engineering field
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.