We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. Apple is meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are striving will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problems in new ways. If that sounds like the kind of environment that you find intriguing, then let’s talk. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a team that sets the standard in fostering excellence, creativity and innovation. Will you help us design the next generation of revolutionary Apple products?
Video Engineering Data Infrastructure team is working on technologies for future Apple products. We’re looking for the right Full Stack Developer to join our team to help develop our next generation systems. In this role, you’ll work on a highly dynamic team that designs and implements data management systems for powering computer vision and deep learning real time video products like FaceID, RoomScan, SLAM/VIO and ARKit. You will be working with experts in machine learning to develop tools, automation and data pipelines to collect, manage and validate massive amounts of data.
Key Qualifications
+2 years of Python
+2 years of Django Framework
+1 year of front end experience HTML/CSS/JS
+1 Years experience with a major cloud platform e.g. AWS
Good verbal and written communication skills
Mature engineering practices, attention to detail and testing
Comfortable with Git, REST API’s, GraphQL, SQL and NoSQL databases.
Comfortable dealing with big data over a petabyte in size
Description
We are looking for an enthusiastic and dedicated software engineer with experience in cloud technologies, who can build tools to process data from a wide range of computer vision systems. As an engineer on our team, your work provides the data foundation for a highly collaborative team of hardware, user experience, and deep learning experts. We are looking for engineers that have a high attention to detail, and who can abstract these details into framework level software solutions. This position requires someone who has a passion for data integrity and is privacy-minded. Responsibilities: Develop, manage, and test web applications and REST APIs. Build and maintain video processing pipelines, analyze and monitor system performance, represent our team within multi-functional groups.
Education & Experience
BS/MS in Computer Science or equivalent experience
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 $130,000 and $196,500, 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.
Role Number: 200479460
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