We are the Product Systems Quality team and we are looking for a highly motivated and experienced automation engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple's next generation of products. You'll enjoy working on a team of quality engineers with a diverse group of backgrounds as we refine the model pipelines that power Apple's trademark simple and intuitive user experience.

Come be a part of our team and use both creativity and technical expertise to bring experiences to life that our customers love!

Description

We are seeking an experienced Automation Engineer to lead the design and implementation of data collection and evaluation pipelines for Apple's ML systems. In this role, you will design, develop and maintain automation frameworks and validation pipelines for machine learning models.

Your work will require close partnership with algorithm development teams to build tools for analyzing and visualizing data, evaluate and represent the true customer experience, design and implement experiments for engineering studies. You will develop and execute validation strategies to ensure the models meet accuracy & reliability requirements as well as create visualization for comparing model validation results across configurations to enable root cause analysis for failures. You'll have opportunity to take ownership of issues, drive them to resolution and continuously improve tests and processes with a drive towards innovation and automation.

You'll be working through every step of the product development cycle and will help make Apple products more reliable, flexible, and easy to use.

Preferred Qualifications

5 or more years of ML industry experience, including time spent debugging or improving deployed models

Experience with analytical tools such as Jupyter, Pandas, Num Py, Matplotlib

Experience in training models using frameworks like Py Torch, Tensor Flow

Data analysis, visualization, and reporting experience with tools such as Tableau, or Splunk

Minimum Qualifications

Bachelor's degree or equivalent in Computer Science, Machine Learning or related field

A minimum of 3 years of hands-on industry experience developing or validating ML/AI systems

Proficiency in Python with strong background in test automation and test infrastructure design

Experience in working with large datasets for testing products utilizing computer vision, machine learning

Ability to communicate effectively and collaborate with partner teams

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 .

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 $147,400 and $272,100, 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.