ML - Data Scientist

Do you have a passion for solving computer vision and deep learning problems? If so, the Data Analytic and Quality (DAQ) group is seeking a Machine Learning/Data Scientist to specialize in the evaluation of GenAI models! This role involves collaboration with innovative teams at Apple focused on developing foundation models, including ML engineers, Data Scientists, and ML Infrastructure Engineers. Your primary responsibilities will include developing methods for the evaluation and improvement of foundation models, as well as refining the data used in training the models

Description You'll be tasked to help design and develop image/video analysis (ROI, SOD, content classification, artifact detection, etc.) and quality assessment algorithms. Participate in crafting testing strategies and solutions for E2E quality evaluation with a combination of image/video analysis, processing, and encoding algorithms. You'll also conduct detailed failure analysis on large GenAI models and machine learning models in different aspects like Operational/Ethical/Security & Privacy. Work directly with developer teams to define and request data to ensure adequate data coverage. Prototype novel evaluation and benchmark methods from foundation model literature research. Develop tools for analyzing and visualizing data. Design and implement experiments (DOE) for engineering studies and large-scale user studies and analyze results. Facilitate and support data collection and contribute in defining feature specifications and anticipated user experience based on data insights.

Minimum Qualifications

• BS and a minimum of 3 years relevant proven experience
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch
• Solid understanding of computer vision principles and extensive experience with 3D deep learning techniques, including NeRF, PointNet, MeshCNN, and Diffusion Models
• Hands-on experience with image/video/3D generative ML models and a proven track record of working with 3D data (point clouds, meshes, voxels, signed distance functions)

Preferred Qualifications

• Proficiency in 3D data processing and rendering frameworks such as Blender API, Unreal Engine, Open3D, Kaolin, or Minkowski Engine
• Experience with real-time rendering and physics-based simulations

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.

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 .