Software QA Engineer, Machine Learning

$143,100 - $264,200/Yr

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Creativity Apps QA team is seeking a Software ML QA Engineer to help us ensure that our iOS and macOS creativity applications are high-quality. We're looking for an engineer to take projects from initial data mining and research through all stages of prototyping, development and final integration into our Apps' clients. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of Apple's customers every day. This position requires a self-motivated individual with strong technical, problem solving and communication skills, and the willingness to work in a sophisticated environment.

Responsibilities

• Scripting and parsing data
• Working closely with the annotation operations team
• Analyzing annotations and test results to ensure features work end-to-end for customers
• Developing and implementing workflow projects
• Conducting regression testing and bug filing
• Collaborating with team members to develop requirements
• Identifying appropriate testing implementations processes and methodologies
• Managing priorities and communicating progress and risks through regular status updates

Requirements

• Minimum of 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning
• Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques
• Understanding of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI
• Preparing and collecting data for evaluation and ensuring data quality
• Proficient in Python and/or Swift or comparable languages
• Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward

Nice-to-haves

• Bachelor's degree combined with an understanding of SQA methodologies
• Experience in machine learning and software engineering

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Opportunity to participate in Apple's discretionary employee stock programs
• Eligibility for discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount through Employee Stock Purchase Plan
• Potential for discretionary bonuses or commission payments
• Relocation assistance