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Display Algorithm Engineer
Career Insights for Machine Learning Engineer
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
DescriptionAs a member of the Display Algorithm team, you will collaborate with teams across Apple that are building the most advanced display products in the world. You will develop algorithms grounded in machine learning models and large-scale data analysis, starting early in a product's lifecycle to identify potential challenges and their solutions. You will translate cross-functional insights and data into algorithms and models ready for implementation.
Responsibilities:
Investigate emerging display technologies and develop new calibration approaches and test plans to improve display optical performanceDevelop identification and classification models, along with image processing methods for defect inspection, to quantify front-of-screen display performance Collaborate with multi-disciplinary teams across display module, manufacturing, test, and system engineering, providing technical leadership and expertise to initiate new project solutionsPartner with the Display Module team to analyze measurement data and develop the computer vision and machine learning models needed to understand, optimize, and resolve display-related problemsCharacterize display failures, capture the datasets required, and design machine learning experiments using the appropriate ML librariesPreferred QualificationsPh.D. in Electrical Engineering, Optics, Physics, or Computer Engineering with expertise in image processing and machine learningExperience with multimodal machine learning (e.g., VLM), including adapting or fine-tuning large pre-trained multimodal models for domain-specific or scientific imageryStrong domain background in display technologies (e.g., OLED, LCD), display systems and driving, optical metrology/calibration, or color scienceTrack record of bridging physical/hardware domain knowledge with data-driven ML modelsFirst-author publication record in peer-reviewed ML or engineering venues (e.g., NeurIPS, ICML, ICLR, CVPR, IEEE, or equivalent)Excellent cross-functional communication and collaboration skills to drive technical solutions across hardware, software, and display engineering teamsMinimum QualificationsM.S. in Electrical Engineering, Computer Science, Optics, Physics, or a related quantitative field with 3+ years of industry experience (or equivalent practical experience)Proficiency in Python and fundamental machine learning concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow/JAX, or Scikit-learnExperience with the ML lifecycle: data curation/cleaning, model exploration, training/fine-tuning, and systematic evaluationWorking knowledge of digital image processing, and computer vision techniquesPay & BenefitsAt 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 $129,300 and $225,300, 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 BenefitsNote:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Benefits
- Financial Aid/Assistance
- Other Retirement and Savings
- Employee Stock Options (ESOs)
- Health Insurance