AIML/Sr. DevOps Engineer/ML Systems Evaluation Eng
Full Job Description
Summary
Posted: Dec 12, 2022
Weekly Hours: 40
Role Number: 200437286
Do you want to play a part in building a groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence? Do you want to improve the user experience of Siri and other AIML products that help millions of people get things done, across the globe? Join the Data ML Systems Evaluation Engineering (Data ML SEE) team at Apple as Full Stack Engineer! Be part of a highly accomplished team which evaluates AIML products, that will delight and inspire millions of people. You will drive the quality of AIML products and collaborate with the most innovative product development teams in the world. This team designs and builds data evaluation tools, automation frameworks and methodologies that enable product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. You will engage with exciting new-product teams around Apple, bringing your expertise and passion for innovation to solving technical problems for our next-generation products that will delight millions of people.
Key Qualifications
5+ years of experience as a Software Development Engineer
Proficient in Python. Familiarity with Swift and/or Obj-C
Experience designing, implementing, maintaining APIs, test automation frameworks, web services in Python and/or Java
Experience with designing and maintaining Databases (SQL, NoSQL)
Experience deploying containerized (i.e. Docker) applications using orchestration platform(s) (i.e. Kubernetes)
Experience with CI/CD automation tools such as TeamCity or Jenkins
Excellent communication and leadership skills, and thrive in a collaborative team environment, strong problem solving skills, critical thinker, and self-starter
Description
The Siri Data ML SEE team is looking for an engineer with skills and passion to define testing strategy, design and implement client and server side automation frameworks and methodologies for effective data quality analysis. Our team fills the important role of ensuring that Siri Data complex, large-scale systems are balanced, monitored, automated, and designed to scale with consistent performance. As an engineer, you will work alongside our team of engineers to provide data evaluation methodologies, tools and automation frameworks in the context of a micro-services architecture and identify continuous improvement opportunities. Your contributions will ensure we provide a premier user experience for our customers. We promote innovation and new technology to further improve our creative output. We are seeking an innovative and passionate person to join this amazing team, if you feel this is you, we'd love to hear from you!
Education & Experience
BS/MS in Computer Science, Engineering, or related field.
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 $130,000 and $242,000, 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.