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# Machine Learning Engineer, Creative Intelligence Systems

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Starter
- **Salary:** $129,300.0
- **Contract:** Internship / Graduate position
- **Skills:** 3D Scanning, 3D Computer Graphics Software, Artificial Intelligence, Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Graphics, Python (Programming Language), Machine Learning, Video Editing, Private Cloud Environment, Neural Rendering, Pytorch, Deep Learning, Generative AI, Gpu Programming, Agentic-AI, Gaussian, Information Technology, Low Latency, Objective C++, Pose Estimation
- **Published:** October 16, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28112149/Machine-Learning-Engineer-Creative-Intelligence-Systems-California-Cupertino-7413

## About the Role

BS in Computer Science, Electrical Engineering, or related field.

Strong programming skills in Python, with working knowledge of C or C++.

Hands-on experience with modern deep learning frameworks such as PyTorch or JAX.

Solid foundation in machine learning, computer vision, 3D graphics, or related domains.

Demonstrated interest in keeping up with state-of-the-art research.

Strong interpersonal and communication skills.

Preferred Qualifications

MS in Computer Science, Machine Learning, Computer Graphics, or related field.

Experience with 3D reconstruction, neural rendering such as Gaussian splatting, or generative models for inpainting and outpainting.

Experience with camera pose estimation, SLAM, or AR frameworks such as ARKit.

Exposure to GPU programming with Metal, CUDA, or similar.

Experience with Swift or Objective-C on Apple platforms.

Fluency with AI-assisted and agentic coding tools.

Track record of successful industry internships.

## Description

In this role, you will push the boundaries of what's possible on device under tight compute and memory constraints. You will tackle problems such as 3D scene reconstruction and novel view synthesis, generative image and video editing, camera pose estimation, person segmentation, monocular depth estimation, shallow depth of field rendering, and subject tracking.

The ideal candidate is focused on product and experience, takes ownership of ambiguous problems, and has a strong foundation in machine learning and graphics. You survey the state of the art before committing to a direction, build working prototypes quickly, and reach out to partner teams to close technical gaps.

Responsibilities

Track state-of-the-art computer vision, graphics, and machine learning research, both published and internal, and turn findings into concrete project plans.

Prototype new communication, capture, and editing experiences end to end on iOS and macOS.

Train, fine-tune, and evaluate machine learning models for image, video, and 3D tasks.

Turn research prototypes into polished, robust, power-efficient product features within tight production cycles.

Partner with internal teams to discover new capabilities and integrate them into our systems and products.

Optimize workloads across CPU, GPU, Apple Neural Engine, and Private Cloud Compute to meet strict thermal, latency, and memory budgets.

Share progress, trade-offs, and results with the team and leadership through regular demos and presentations.