Machine Learning / Computer Vision Engineer - Generative AI

Apple-posted 4 months ago
$147,400 - $272,100/Yr
Full-time • Mid Level
Computer and Electronic Product Manufacturing
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Apple's Synthetic Data Group (SDG) is seeking a skilled Machine Learning Engineer with hands-on experience in Generative AI to join our team. In this role, you will be responsible for designing, training, and deploying state-of-the-art generative models to solve problems across various domains (text, image and video). You will work closely with cross-functional teams, including technical artists, computer graphics engineers, ML engineers and product managers, to develop cutting-edge AI solutions that push the boundaries of creativity and automation. The ideal candidate will have a proven track record of delivering successful computer vision applications, with experience in developing and deploying deep learning models in production environments.

  • 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.
  • Collaborate with synthetic data engineers to preprocess datasets, create synthetic data, and optimize data pipelines.
  • 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.
  • Work closely with product teams to integrate generative AI into real-world applications (e.g., content creation, automation, digital assistants).
  • 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-focused environment.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses — including tuition.
  • Opportunity to participate in Apple's discretionary employee stock programs.
  • Eligibility for discretionary bonuses or commission payments.
  • Relocation assistance.
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