Senior Simulation Machine Learning Engineer - Special Projects

Apple
Cupertino, United States of America2025-12-17

About the job

As a Senior Simulation Machine Learning Engineer, you will join an innovation-driven team advancing Apple’s simulation and synthetic data technology to support a wide range of AI/ML initiatives. You will design, prototype, and productionize systems that generate high-quality 3D scenarios and multi-modal synthetic datasets used throughout Apple’s ML ecosystem.

Responsibilities

Design and implement systems for generating, varying, and validating 3D simulation scenarios, leveraging generative models, procedural techniques, and diverse data sources to create environments, human animation and behavior, rendering and lighting.

Develop prototypes and production systems that expand our capabilities and scale across teams

Partner with engineers, ML researchers, and content creators to deliver efficient, reliable pipelines.

Develop tools and APIs that enable internal users to easily author, manage, and execute simulations.

Debug and resolve issues across scenario generation, simulation, and data quality.

Identify architectural improvements and drive long-term strategy for scenario generation and simulation-based data pipelines.

Stay current with advances in world models, generative video/3D models, neural rendering, procedural content generation, and simulation technologies. Introduce promising methods into production workflows.

Qualifications

Minimum

5+ years of professional experience in ML, simulation, graphics, or related fields.

Strong proficiency in Python and modern machine learning techniques.

Working knowledge of C++ and robust software engineering fundamentals.

Experience with LLMs, VLMs, diffusion models, world models, or similar generative/modeling frameworks.

Experience with 3D data, scene representations, and rendering fundamentals.

Strong communication and cross-functional collaboration skills are key.

Preferred

Familiarity with USD format and tools

Experience with neural rendering, 3D generative models, learned simulation techniques.

Experience guiding technical direction, influencing architecture in a software engineering team

Understanding of real-time and offline rendering pipelines.

Experience with animation

Experience with complex industrial or commercial simulation systems or large-scale data generation workflows.