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Apple Machine Learning / Computer Vision Engineer - Generative AI United States, California, Sunnyvale 957450211
06.05.2025
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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-based infrastructure (e.g., AWS, GCP).Research and experiment with foundation models, multimodal AI, and reinforcement learning to enhance generative capabilities.Deploy generative AI models into production using ML frameworks (TensorFlow, PyTorch) and MLOps best practices.Optimize model inference for latency and efficiency, leveraging quantization, pruning, and edge deployment strategies.Stay updated with cutting-edge AI research, contribute to patents/publications, and participate in open-source projects.
- BS and a minimum of 3 years relevant industry experience.
- Experience in Computer Graphics fundamentals (3D Gaussian Splats, path tracing, rendering, ...)
- Familiarity with real time / path tracing renderers (VRay, Arnold, Unreal Engine, ...).
- Experience with RLHF (Reinforcement Learning with Human Feedback).
- Contributions to open-source ML projects or publications in top AI conferences.
- Experience in automated content generation, synthetic media, or AI-powered creative tools.
- 5+ years of hands-on experience in Machine Learning & Deep Learning.
- Strong expertise in Generative AI models (Diffusion Models, GANs, VAEs, Transformers).
- Experience using Synthetic Data for training computer vision models
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, JAX.
- Experience with NLP, Computer Vision, or Multimodal AI.
- Familiarity with LLMs (GPT, LLaMA, Mistral, etc.) and fine-tuning techniques like LoRA, PEFT.
- Experience in model deployment using Docker, TensorRT, ONNX.
- Strong knowledge of cloud computing (AWS, GCP) and distributed model training.
- Experience with MLOps, model versioning, and monitoring (MLflow, Weights & Biases).
- Strong problem-solving skills and ability to work in a fast-paced, product-focussed environment.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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