Software Developer in Test, Applied ML Analytics

A technology company that crafts products and experiences people once couldn't imagine and now can't live without.
$175,800 - $312,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Finance

Description For Software Developer in Test, Applied ML Analytics

Apple is seeking a Senior Software Developer in Test for their Applied ML Analytics team, focusing on the Wallet, Payment and Commerce (WPC) Organization. This role represents a unique opportunity to impact Apple's payment products through advanced testing methodologies and machine learning applications.

The position combines test automation expertise with machine learning capabilities, requiring someone who can bridge the gap between quality assurance and data science. You'll be working with Apple Pay's ML services, developing sophisticated testing frameworks that ensure the reliability and accuracy of on-device insights products.

The role offers an exciting challenge for engineers who are passionate about quality and innovation in the fintech space. You'll be working with cutting-edge technologies, including distributed systems, cloud infrastructure, and machine learning models, while ensuring the highest standards of security and performance for Apple's payment solutions.

As part of Apple's team, you'll enjoy comprehensive benefits, including medical and dental coverage, retirement benefits, and the opportunity to become an Apple shareholder through various stock programs. The company's commitment to education is demonstrated through tuition reimbursement for career advancement.

The ideal candidate will thrive in a dynamic environment where autonomy and problem-solving are essential. You'll be collaborating with cross-functional teams, including developers, data scientists, and external partners, making this an excellent opportunity for someone who enjoys both technical challenges and collaborative work.

Working at Apple means being part of a company that values diversity and inclusion, while contributing to products that millions of people rely on daily. The role offers competitive compensation, with a base salary range of $175,800 to $312,200, plus additional benefits and potential bonuses.

If you're passionate about quality engineering, machine learning, and want to be part of shaping the future of digital payments while working with some of the best minds in technology, this role presents an exceptional opportunity to advance your career at one of the world's most innovative companies.

Last updated 12 hours ago

Responsibilities For Software Developer in Test, Applied ML Analytics

  • 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
  • Own the design and implementation of distributed systems that are resilient and secure
  • Troubleshoot complex infrastructure issues
  • Work closely with developers, data scientists, external partners, and other quality engineers

Requirements For Software Developer in Test, Applied ML Analytics

Python
Scala
Kubernetes
Kafka
Cassandra
  • 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
  • Self-sufficient with 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
  • Familiarity with monitoring and observability tools
  • BS or MS in Computer Science, related technical field or equivalent experience

Benefits For Software Developer in Test, Applied ML Analytics

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs and stock purchase plan
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Range of discounted products and free services

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