Job description

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for someone who has taken large generative models through the full lifecycle, from pre-training through fine-tuning and efficient inference, and can bring that depth to video, with the engineering skills to make that work reproducible and production-ready. Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or relevant degree, and a minimum of 3 years relevant industry experience Experience with large-scale generative model training for video generation Experience running distributed training across multi-node GPU clusters Strong software engineering skills in Python, with proficiency in a modern deep learning framework such as PyTorch or JAX MS or PhD in Electrical Engineering, Computer Science, or Computer Engineering Experience with video generation architectures, including diffusion or autoregressive models, temporal consistency, and long-horizon generation Experience contributing to major foundation or base model pre-training efforts, including scaling laws and transferring training recipes across model and training scales Experience with large-scale training operations, including parallelism strategies and diagnosing loss instability, divergence, or throughput regressions Experience improving and adapting trained models, such as step distillation, few-step sampling, or quantization for inference efficiency, and supervised fine-tuning, preference optimization, or knowledge distillation for quality Ability to work through ambiguity, collaborate across teams and disciplines, and communicate complex technical results clearly

Requirements

Must-haves

Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or relevant degree, and a minimum of 3 years relevant industry experience
Experience with large-scale generative model training for video generation
Experience running distributed training across multi-node GPU clusters
Strong software engineering skills in Python, with proficiency in a modern deep learning framework such as PyTorch or JAX
MS or PhD in Electrical Engineering, Computer Science, or Computer Engineering
Experience with video generation architectures, including diffusion or autoregressive models, temporal consistency, and long-horizon generation
Experience contributing to major foundation or base model pre-training efforts, including scaling laws and transferring training recipes across model and training scales
Experience with large-scale training operations, including parallelism strategies and diagnosing loss instability, divergence, or throughput regressions
Ability to work through ambiguity, collaborate across teams and disciplines, and communicate complex technical results clearly

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: apple
Effort: medium