Job Details

Software Development Engineer - Test

Cupertino, California, United States

Hardware

Summary

Posted: Jun 20, 2025

Weekly Hours: 40

Role Number: 200607916

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Build detailed evaluations enabling a deep understanding of algorithm performance and use case suitability. Design and build tooling to generate detailed evaluations of machine learning algorithms on large datasets. Build metrics, develop automation, run hands-on qualitative tests, and perform failure analysis. Develop failure analysis processes and benchmarks to support quantitative analysis of 2D and 3D computer vision algorithms. Perform qualitative and feature tests for various machine learning algorithms. Enable automation of large workloads on
compute clusters comprising a variety of hardware fabrics. Create data pipelines to ingest complex datasets for evaluation of interrelated machine learning algorithms. Develop innovative methods to scope data gaps in machine learning algorithms and propose statistically efficient ways to source data that can maximally improve the performance of next-generation computer vision applications. Utilize a combination of Python scripts, statistical analysis, and common machine learning metrics to rigorously evaluate the performance of computer vision models.
Analyze model outputs against ground truth labels and diverse datasets to assess accuracy, precision, recall, and other relevant metrics. Utilize Numpy and Pandas to preprocess and prepare datasets, ground truth labels, and metadata for model evaluation. Clean and standardize data to ensure consistency and accuracy in model assessment. Perform statistical analysis using Python to assess the fairness and bias of computer vision models. Investigate potential biases in model predictions across demographic groups and develop strategies to mitigate biases and ensure fairness. 40 hours/week. 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 $143,100 - $214,500/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Master’s degree or foreign equivalent in Computer Science, Computer Engineering or related field and 2 years of experience in the job offered or related occupation.

• 2 year of experience with each of the following skills is required:

• Utilizing Python and Unix scripting to develop robust test automation scripts

• Applying machine learning metrics, and guiding teams in the selection and prioritization of model performance metrics.

• Utilizing Python to conduct comprehensive statistical analysis of algorithm behavior.

• Applying statistical techniques.

• Using Numpy and Pandas libraries

• Ensuring data consistency and integrity of model performance.

• Debugging and troubleshooting issues related to data preprocessing, feature extraction, and model inference.

• Utilizing PyTorch for model development, training, and evaluation.

• Documenting evaluation procedures and outcomes, and presenting model performance based on evaluation results.

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

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 .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

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 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.