Hardware Engineering Software Professional
1 week ago
**Join Our Team**
Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more?
As a Software Engineer on the Ecosystem Tools team at Apple, you will have the opportunity to work on cutting-edge projects that incorporate Machine Learning and AI. Our team builds software that supports the development of Apple's hardware product line, and we're looking for talented engineers to join us.
About the Job
This role involves collaborating with cross-functional partners throughout Apple to design and develop software that applies ML and AI to solve problems, provide insights, and drive decision-making within Hardware Engineering and beyond.
Responsibilities
- Develop high-quality, maintainable code that meets the needs of our customers.
- Work with diverse teams and organizations to distill complex requirements into a concrete action plan.
- Explore new ML and AI techniques and suggest innovative ways to apply them to new and existing problems for our customers.
- Conduct design reviews, write documentation, and provide constructive feedback on peer designs.
- Present your work to the team and leadership through demos, presentations, and retrospectives.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent work experience.
- Demonstrated software engineering experience in one of the following: web, native, or Machine Learning/AI applications.
- Effective communication with technical and non-technical audiences.
Base Pay Range
The base pay range for this role is between $121,900 and $214,500, depending on your skills, qualifications, experience, and location.
About Apple
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.
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