Senior GPU/ML Modelling Engineer Job Listing at AMD in Warsaw, Masovian Voivodeship (Job ID 56412-en-us)

Description

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Senior ML Modelling Engineer

Role Overview:

AMD is seeking a Senior ML modeling engineer with expertise in computer graphics and deep learning to bridge the gap between real-time rendering technology and machine learning solutions. The ideal candidate will lead a team developing ML models that enhance and optimize graphics rendering pipelines, combining deep technical understanding of modern graphics APIs with machine learning expertise. This role requires experience handling the complexities of production systems where performance, reliability, and resource constraints are critical considerations.

Role Description:

As a Senior ML modeling engineer, you'll guide a team of ML engineers in developing neural network solutions for graphics-related challenges. While hands-on D3D12 implementation experience isn't required, you'll need a strong theoretical understanding of modern graphics pipelines, ray tracing concepts, and real-time rendering techniques to effectively lead projects and make architectural decisions.

Key Responsibilities:

• Lead and mentor a team of ML engineers, fostering innovation while ensuring production-ready deliverables
• Drive the development of ML solutions for graphics-related challenges, particularly in rendering optimization and computer vision
• Architect ML pipelines that integrate with modern graphics systems while meeting strict production requirements
• Guide the team in developing and training neural networks for computer vision and rendering applications
• Collaborate with graphics engineers to identify and implement practical ML-based optimizations
• Establish best practices for data collection, model training, and evaluation specific to graphics applications
• Balance innovation with production stability, ensuring solutions are both cutting-edge and reliable

Required Qualifications

• 7+ years of experience in machine learning, with at least 3 years focusing on computer vision or graphics-related applications in production environments
• Proven team leadership experience and strong mentoring abilities
• Deep understanding of modern graphics concepts including ray tracing, shading models, and real-time rendering pipelines
• Extensive experience with neural network architecture design and training methodologies
• Strong background in computer vision and image processing
• Thorough understanding of D3D12 concepts and modern GPU architectures
• Experience with ML frameworks (PyTorch) and related infrastructure
• Demonstrated experience handling production-specific challenges such as:
• Resource optimization and performance tuning in constrained environments
• Managing ML systems with strict latency requirements
• Implementing robust error handling and fallback mechanisms
• Scaling solutions across multiple hardware configurations

Desired Experience

• Background in game development or real-time graphics applications
• Experience with ML applications in rendering optimization
• Familiarity with graphics debugging tools and performance analysis
• Published research or patents in computer vision or ML for graphics
• Experience with large-scale data processing and distributed training systems
• Knowledge of MLOps practices and deployment pipelines

ACADEMIC CREDENTIALS:

• Has a Master's degree in computer science or a related technical discipline, or equivalent

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AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.