Machine Learning Engineer- MSI
Apple
Full-time
On-site
Cupertino, California, United States
Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand at Apple.
The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. You will be building, deploying and scaling algorithms from laptops in Cupertino serving thousands of inferences daily in industrial manufacturing settings.
The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. You will be building, deploying and scaling algorithms from laptops in Cupertino serving thousands of inferences daily in industrial manufacturing settings.
Description
As a key member of our team, you’ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability. In this role, you’ll be embedded inside a vibrant team of machine learning engineers and data scientists. You’ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metric. You will provide technical mentorship and guidance, prepare technical reports and papers for publication and conference talks. You have the ability to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world.
KEY RESPONSIBILITIES:
- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms
- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
- Work with resources in cross-functional teams and the factory to integrate ML applications
- Abilities to independently learn new technologies; prioritize tasks and take ownership; and relevantly present results of analyses in a clear and impactful manner
KEY RESPONSIBILITIES:
- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms
- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
- Work with resources in cross-functional teams and the factory to integrate ML applications
- Abilities to independently learn new technologies; prioritize tasks and take ownership; and relevantly present results of analyses in a clear and impactful manner
Minimum Qualifications
- Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
- Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential.
- Proven ability to implement, improve, debug, and maintain machine learning models
- Self-motivated, responsible, excellent written and verbal interpersonal skills
- Experience with handling and visualizing very large data sets and creating performance reports
Key Qualifications
Preferred Qualifications
- PhD degree (or MS degree with a minimum of 3+ years of related industry experience) in Machine Learning, Computer Science, Software Engineering, Data Science or related fields.
- iOS CoreImage/CoreML and native App development experience is a big plus
- AWS ML framework experience is preferred.
- Familiar with version control systems such as Git
- Strong optimization and debugging skills
- Some travel will be required (< 10%)
Education & Experience
Additional Requirements
Pay & Benefits
- 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 $143,100 and $214,500, 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 take affirmative action to ensure 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.