Machine Learning Engineer, Software QA - Creativity Apps
19 days ago Vancouver, Canada
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Creativity Apps QA team is seeking a Software QA Engineer, Machine Learning to help us ensure that our iOS and macOS creativity applications are high-quality. We're looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps' clients through rigorous testing methodologies. 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.
Description
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 include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies.
Preferred Qualifications
Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
Understanding of SQA methodologies and practices, software engineering experience preferred.
iOS and macOS familiarity.
Minimum Qualifications
At least 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.
Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
Proficient in Python and/or Swift or comparable languages.
Preparing and collecting data for evaluation and ensuring data quality.
Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.
Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward.
Prototyping and tools development experience.
Strong presentation skills and ability to adapt technical presentation to various audiences.
Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency.
Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
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 $119,100 and $230,500, 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 Inc.'s discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit award recommendations, and can purchase Apple Inc. stock at a discount if voluntarily participating in Apple Inc.'s Employee Stock Purchase Plan. Participation in Apple Inc.'s discretionary stock programs is governed by Apple Inc.'s stock plans and agreements and are not part of local employment contracts or compensation.
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 and compensation programs are subject to eligibility requirements and other terms of the applicable plan or program.
The Creativity Apps QA team is seeking a Software QA Engineer, Machine Learning to help us ensure that our iOS and macOS creativity applications are high-quality. We're looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps' clients through rigorous testing methodologies. 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.
Description
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 include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies.
Preferred Qualifications
Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
Understanding of SQA methodologies and practices, software engineering experience preferred.
iOS and macOS familiarity.
Minimum Qualifications
At least 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.
Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
Proficient in Python and/or Swift or comparable languages.
Preparing and collecting data for evaluation and ensuring data quality.
Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.
Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward.
Prototyping and tools development experience.
Strong presentation skills and ability to adapt technical presentation to various audiences.
Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency.
Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
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 $119,100 and $230,500, 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 Inc.'s discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit award recommendations, and can purchase Apple Inc. stock at a discount if voluntarily participating in Apple Inc.'s Employee Stock Purchase Plan. Participation in Apple Inc.'s discretionary stock programs is governed by Apple Inc.'s stock plans and agreements and are not part of local employment contracts or compensation.
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 and compensation programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
- Salary: $119,100 – $230,500
- Posted: 19 days ago