Machine Learning Engineer
Apple
23 hours ago
Full-time
On-site
Cupertino, California, United States
ML & AI Engineering
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.
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Collaborate with cross functional teams to develop computer vision data generation solutions. Design and implement computer vision and deep learning-based algorithms to generate data ground truth. Design and implement front-end software for web-based data management applications. Design and implement back-end software for cloud-based data processing. Implement and maintain software pipeline to analyze computer vision data integrity. Develop online data dashboard for data tracking and analytics. Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated machine learning models for efficient data annotation. 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 $187,741 - $220,900/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.
Master’s degree or foreign equivalent in Computer Science, Computer Engineering or related field and two years of experience in the job offered or related occupation. Experience and/or education must include: Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data dashboard software Utilizing Python, Pytorch, Docker, and cloud compute to design and implement machine learning (ML) powered data filtering and analysis pipeline Utilizing the knowledge of ML and computer vision to develop ML models and training solutions Utilizing ML knowledge, Python, and Pytorch to implement ML training and evaluation software and infrastructure Designing and implementing computer vision data curation algorithms, including representation learning, confident learning, out of distribution detection, and 3D reconstruction. Experience in vision data processing tools including scikit-image and OpenCV. Experience in data pipeline, modeling, database and query tools, including Dagster and PostgreSQL.
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Description
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Collaborate with cross functional teams to develop computer vision data generation solutions. Design and implement computer vision and deep learning-based algorithms to generate data ground truth. Design and implement front-end software for web-based data management applications. Design and implement back-end software for cloud-based data processing. Implement and maintain software pipeline to analyze computer vision data integrity. Develop online data dashboard for data tracking and analytics. Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated machine learning models for efficient data annotation. 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 $187,741 - $220,900/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 two years of experience in the job offered or related occupation. Experience and/or education must include: Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data dashboard software Utilizing Python, Pytorch, Docker, and cloud compute to design and implement machine learning (ML) powered data filtering and analysis pipeline Utilizing the knowledge of ML and computer vision to develop ML models and training solutions Utilizing ML knowledge, Python, and Pytorch to implement ML training and evaluation software and infrastructure Designing and implementing computer vision data curation algorithms, including representation learning, confident learning, out of distribution detection, and 3D reconstruction. Experience in vision data processing tools including scikit-image and OpenCV. Experience in data pipeline, modeling, database and query tools, including Dagster and PostgreSQL.
Preferred Qualifications
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