This role pays more than
98%
of similar roles. Most pay
$162,000–$243,406
— the shaded band above.
At the midpoint, this role pays about
$300k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
The AI/ML Engineer – Generative AI joins the Applied Research and Engineering team to advance next-generation generative AI technologies. This role involves developing, training, and fine-tuning state-of-the-art models for image generation, diffusion-based learning, and multimodal applications. The engineer will build scalable training and inference pipelines, optimize workloads for GPU architectures, and evaluate model performance using advanced benchmarks. Key responsibilities include designing neural network architectures and integrating AI innovations into hardware technologies to advance visual computing and content creation. Candidates should possess strong software development skills in Python and C++, along with expertise in PyTorch, TensorFlow, or JAX. The role requires experience with GANs, transformers, and MLOps workflows while solving complex problems in image synthesis and large-scale machine learning within a high-performance computing environment to push the boundaries of intelligent computing.
Develop, train, and fine-tune Generative AI models for image generation and visual content creation.
Design and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.
Build scalable training and inference pipelines leveraging high-performance GPU computing.
Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.
Optimize AI workloads specifically for AMD GPU architectures to improve performance.
Integrate AI innovations into AMD technologies by collaborating with research, software, and hardware teams.
Stay current on emerging advancements in image synthesis, diffusion models, and large-scale machine learning.
What we're looking for
A Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field is preferred.
Experience developing and training diffusion models, GANs, transformers, or multimodal AI systems.
Proficiency in Python and C++ for software development.
Hands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks.
Experience building scalable training and inference pipelines using high-performance GPU computing.
Knowledge of MLOps, CI/CD workflows, Git, and modern software engineering practices.
Familiarity with distributed training, model optimization, and GPU acceleration techniques.
Expertise in computer vision, image synthesis, and multimodal learning techniques.
Machine Learning
Deep Learning
Computer Vision
Generative AI
Diffusion Models
GAN
VAE
PyTorch
Jax
TensorFlow
Python
Go
Java
C++
Multimodal Foundation Models
Image Generation
Video Generation
3D Generation