CV/ML Generalist Engineer

Apple; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Stock options

Health insurance

On-site amenities

Job summary

Apple is seeking a creative CVML Generalist Engineer to join a team of researchers and engineers advancing generative image and video systems focused on human subjects. You’ll own complex systems end to end—from concept and prototyping through evaluation and production release—working with cross-functional partners to ship product-ready solutions.

The ideal candidate blends strong computer vision and ML foundations with hands-on engineering, ownership mindset, and excellent communication across

Qualifications

• BS in Computer Science or related field with 3+ years of relevant experience.
• PhD preferred; deep expertise in CV/ML and generative models.
• Experience building and evaluating LLM/VLM-powered agents.
• Strong Python/C++ and PyTorch or JAX experience.

Responsibilities

• Build and evaluate generative CV/ML models.
• Own end-to-end vision systems from prototype to production.
• Collaborate with researchers and engineers to ship solutions.
• Publish results and present findings within CV/ML forums.

Skills

Generative CV/ML

End-to-end systems

Python

C++

PyTorch

JAX

LLM agents

Problem solving

Communication

Education

BS in CS or related

PhD in CS/ML

Tools

CUDA

Job description

Apple is looking for a creative, versatile Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team of leading researchers and engineers. The team builds generative machine learning-based systems and frameworks for image and video generation, with a focus on human subjects. You'll work in a fast-paced, startup-like environment and help the team scale through smart engineering and AI-driven tools. You'll also work with cross-functional partners to build the algorithms and systems behind Apple's next-generation products.

The ideal candidate has both strong computer vision and ML foundations and hands-on engineering experience with agentic workflows. You're comfortable owning complex systems from start to finish: building, evaluating, and shipping them. You're self-driven, act without waiting for direction, and communicate well with people at every level of the organization.

Desired Experience

• Generative CV/ML research and algorithm development, especially image and video synthesis
• Building large-scale, end-to-end computer vision systems with AI coding agents
• Human-centric computer vision problems, such as digital humans, motion synthesis, body tracking, or generative avatars
• Neural rendering or world models

Build and improve image and video generation models, algorithms, and systems, especially for human subjects.

Own vision-based systems end to end, from prototype to production.

Build new technology and maintain existing systems, using AI tools / coding tools to work faster.

Work with other researchers, engineers, and cross-functional partners to turn research into product-ready solutions.

Qualifications

• BS in Computer Science or a related field and 3+ years of relevant experience, or equivalent experience.
• High agency: you take ownership and drive work forward on your own.
• 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++, and experience with a deep learning framework such as PyTorch or JAX.
• PhD in Computer Science, Machine Learning, or a related field.
• Deep expertise in computer vision and machine learning, with a strong focus on deep generative models (e.g., GANs, VAEs, diffusion models)
• Knowledge of modern vision data visualization methods, such as 3D Gaussian Splatting, neural volume rendering, is a plus
• Familiarity with modern graphics technology for high-fidelity 3D human generation, such as photogrammetry, computational hair modeling, physics-based hair/cloth simulation, or physically-based shading, would be a plus
• Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums, demonstrating your contributions to advancing the state-of-the‑art in computer vision and machine learning, is a plus