Machine Learning / Computer Vision Engineer - Generative AI

Machine Learning / Computer Vision Engineer - Generative AI

Sunnyvale, California, United States | Machine Learning and AI

Description

Design, train, and fine-tune Generative AI models (e.g., GANs, VAEs, Diffusion Models, Transformers like GPT, Stable Diffusion). Develop and optimize large-scale deep learning models for text, image, and video generation. Implement efficient training pipelines using distributed computing and cloud infrastructure (e.g., AWS, GCP). Research foundation models, multimodal AI, and reinforcement learning to enhance generative capabilities. Collaborate with data engineers to preprocess datasets, create synthetic data, and optimize data pipelines. Deploy models into production using ML frameworks (TensorFlow, PyTorch) and MLOps best practices. Optimize inference for latency and efficiency through quantization, pruning, and edge deployment. Stay updated with AI research, contribute to patents / publications, and participate in open-source projects. Work with product teams to integrate AI into applications like content creation, automation, and digital assistants.

Minimum Qualifications

• BS degree and at least 3 years of relevant industry experience.
• Experience with computer graphics fundamentals (3D Gaussian splats, path tracing, rendering).
• Familiarity with real-time / path tracing renderers (VRay, Arnold, Unreal Engine).

Preferred Qualifications

Note : The salary range for this role is $147,400 to $272,100, depending on skills and experience. Apple offers comprehensive benefits, stock programs, and opportunities for career growth. This role may also be eligible for bonuses, relocation, and educational reimbursements.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics.

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