Cupertino, CA, 95015, USA
17 hours ago
Software Developer in Test, Applied ML Analytics
Software Developer in Test, Applied ML Analytics Cupertino,California,United States Software and Services Together we craft products and experiences people once couldn’t have imagined — and now can’t imagine living without! If you’re excited by the idea of making a real impact, and joining a team where we pride ourselves on being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! The Wallet, Payment and Commerce teams Quality Engineering teams are responsible for the quality of Wallet and payment products for the Apple WPC Organization. For this creation of role we are looking for a Senior Engineer in charge of redefining the testing approach and develop new frameworks and tools leveraging new technologies. **Description** As Apple Pay Software Developer in Test Engineers, we work closely with developers, data scientists, external partners, and other quality engineers to guarantee high quality products, as well as ensure existing features meet our customer’s expectations in each software release. To be successful in this role you should be experienced developer with strong Data Science fundamentals as well as programming fundamentals. This role involves collaboration with teams at Apple focused developing automated solutions to test on Device Insights products. You will: Develop tools, metrics, and datasets for assessing and evaluating the accuracy of On-device Insights testing. Architect and develop scalable platforms to support the deployment and operation of Apple Pay ML services and applications. Own the design and implementation of distributed systems that are resilient and secure. Troubleshoot complex infrastructure issues, ensuring efficient performance and reliability across multi-cloud environments. **Minimum Qualifications** + In-depth knowledge and experience on Test Automation planning, execution, and triage for projects on client to server. + Practical experience running machine learning models and evaluating them for quality and performance metrics. + Comfortable working in a continually changing and multifaceted environment and driving top issues to resolution + Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. + Proficient in one of more: Swift, Python, Scala + Excellent data analytical skills, Experience in Data mining tooling + Ability to work collaboratively with multiple teams + Familiarity with monitoring and observability tools to ensure high availability. + BS or MS in Computer Science, related technical field or equivalent experience **Key Qualifications** **Preferred Qualifications** + Understand CI/CD, Familiarity with cloud technologies like Docker, Kubernetes, AWS EKS for scalable deployment. + Passion to building scalable software solutions for testing + Knowledge and experience in one or more of the following technologies: Hadoop ecosystem, Kafka, Cassandra, SQL + iOS development experience (a passion for) **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 $175,800 and $312,200, 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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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