ML Data Engineer at AMD

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ ML Data Engineer LOCATION: Sweden, France, Germany, Poland, UK, Belgium, Holland THE ROLE: AMD is looking for a strategic ML Engineer who understands the importance that high quality data has in the production of successful machine learning solutions. You will aid in the data generation/gathering processing and oversee different steps of the training pipeline to ensure efficient processing. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate is a highly skilled data scientist or machine learning engineer. You are interested in real time graphics, and you are excited about the next generation of machine learning techniques will unlock in this field. You are team-driven and understand what is required to train advanced neural networks and are motivated to do things others might find too difficult. KEY RESPONSIBILITIES: Ability to effectively work with large amounts of data to support machine learning pipelines. Generate or gather data to improve machine learning models. Ability to work with Pytorch. Proficient in Python for rapid prototyping and testing. Comprehensive understanding of general software development workflows, including version control systems like Git, build automation tools like CMake, and continuous integration (CI) pipelines. Proficient in English, with excellent written and verbal communication skills for collaborating with team members and presenting findings or proposals. Collaborate with cross-functional teams including researchers, engineers, and domain experts to understand requirements, develop prototypes, and improve processes. Document code, methodologies, and findings comprehensively, ensuring reproducibility and knowledge sharing within the team and across the organization. Mentor junior team members, providing guidance on machine learning concepts, programming techniques, and software development practices to foster skill development and team growth. PREFERRED EXPERIENCE: Minimum 2 years of full-time (post grad) experience with machine learning, preferably in the context of data acquisition/processing and training. Familiarity with Machine Learning tools such as ONNX and PyTorch. Has strong graphics code optimization skills, in particular shader code optimizations. Ability to write high-quality, maintainable code with meticulous attention to detail, ensuring robustness and high performance. Experience with modern concurrent programming paradigms and threading APIs to develop parallel and distributed machine learning algorithms efficiently. Effective communication and problem-solving skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. The following experiences are optional but highly desired: GCN / RDNA graphics architecture experience. Familiarity with 3D graphics using GPU Compute and popular graphics APIs such as Direct3D, Vulkan, OpenGL, OpenCL, CUDA, and HIP. Game engine or game rendering framework experience ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-HS3 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. 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.