Senior CV/ML Generalist Engineer

Apple•Sunnyvale, CA

About The Position

Apple is seeking a creative, versatile Senior Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team of researchers and engineers building generative machine-learning systems and frameworks for image and video generation, with a focus on human subjects. The role is in a fast-paced, startup-like environment and involves helping the team scale through smart engineering and AI-driven tools. The engineer will work with cross-functional partners to build algorithms and systems for Apple's next-generation products. The ideal candidate combines strong computer vision and machine-learning foundations with hands-on experience in agentic workflows. They will own complex systems end to end, including building, evaluating, and shipping them; take initiative and work independently; and communicate effectively across the organization. Particularly relevant areas include generative CV/ML research and algorithm development for image and video synthesis, large-scale end-to-end computer vision systems built with AI coding agents, human-centric computer vision, and neural rendering or world models.

Requirements

  • BS/MS in Computer Science or a related field and 5+ years of relevant experience, or equivalent experience.
  • Demonstrated initiative, ownership, and ability to drive work forward independently.
  • Excellent problem-solving, critical-thinking, and communication skills.
  • Strong theoretical and practical knowledge of machine learning and deep learning.
  • Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.
  • Strong programming skills in Python and/or C++.
  • Experience with a deep-learning framework such as PyTorch or JAX.
  • Strong foundations in computer vision and machine learning.
  • Hands-on engineering experience with agentic workflows.

Nice To Haves

  • PhD in Computer Science, Machine Learning, or a related field.
  • Deep expertise in computer vision and machine learning, especially deep generative models such as GANs, VAEs, or diffusion models.
  • Knowledge of modern vision-data visualization methods, such as 3D Gaussian Splatting or neural volume rendering.
  • Familiarity with graphics technologies for high-fidelity 3D human generation, such as photogrammetry, computational hair modeling, physics-based hair or cloth simulation, or physically based shading.
  • Published research in leading computer vision conferences or forums such as CVPR, ICCV, ECCV, or NeurIPS.
  • Deep experience in two or more of generative CV/ML research and algorithm development (especially image and video synthesis), large-scale end-to-end computer vision systems built with AI coding agents, human-centric computer vision (such as digital humans, motion synthesis, body tracking, or generative avatars), and neural rendering or world models.

Responsibilities

  • Build generative machine-learning systems and frameworks for image and video generation, focused on human subjects.
  • Help scale the team through smart engineering and AI-driven tools.
  • Collaborate with cross-functional partners to build algorithms and systems for Apple's next-generation products.
  • Own complex systems from start to finish, including building, evaluating, and shipping them.
  • Build and evaluate LLM/VLM-powered agents, including capabilities for tool use, multi-step reasoning, planning, and context management.
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