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Apple AIML - Software Engineer Machine Learning & Platform United States, Washington, Seattle 916819803
03.08.2024
Description
As a software engineer on the MLPT Compute Platform team you have the following responsibilities:- Lead a group of engineers to deliver high quality products/services. Be able to stay on top of state-of-the-art technologies and apply them in the job. During the process, support junior engineers by providing advice, coaching and educational opportunities.
Minimum Qualifications
- Strong software development skills, proficiency in relevant languages (e.g. Python)
- Experience designing and building services and APIs, especially micro-services
- Familiarity with relational database systems such as PostgreSQL, and experience with distributed systems and services
- Proficiency with CI/CD, Container orchestration technologies like Kubernetes & EC2
- Obsessed with the end user experience; previous experience in taking a product from design & inception to production
- BS in Computer Science or equivalent industry work experience
Preferred Qualifications
- Experience using system monitoring tools and automated testing frameworks
- Experience delivering distributed systems and services in a production setting
- Experience with Kubernetes and cloud infrastructure
- Experience with Machine Learning and ML lifecycle / deployment
- Master or PhD in Computer Science or equivalent industry work 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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.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.
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