What are the responsibilities and job description for the ML ARCHITECT ENGINEER position at Advanced Micro Devices, Inc?
Overview :
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 worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Responsibilities : THE ROLE :
AMD is looking for a strategic ML architect engineering leader who is passionate about creating new algorithms with GPUs on image processing, rendering. 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.
More about the ARR team : Advanced Rendering Research Group - AMD GPUOpen
THE PERSON :
The ideal candidate should be passionate about Machine Learning and software engineering and possess leadership skills to drive sophisticated issues to resolution, able to communicate effectively and work optimally with different teams across AMD. Person will be part of the Advanced Rendering Research team and has the following :
KEY RESPONSIBILITIES :
- Expertise in Machine Learning, particularly focused on Model Creation and Model Architecture, including advanced techniques such as deep learning, reinforcement learning, and generative models.
- Strong proficiency in Python programming for implementing machine learning algorithms, data preprocessing, and model evaluation.
- Ability to work with D3D12
- 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 data scientists, engineers, and domain experts to understand requirements, develop prototypes, and deploy production-ready machine learning solutions.
- Research and stay up-to-date with the latest advancements in machine learning algorithms, frameworks, and tools, incorporating best practices into model development and architecture design.
- Optimize machine learning models for deployment on various platforms including cloud infrastructure, edge devices, and embedded systems, balancing performance, resource constraints, and scalability requirements.
- Conduct thorough experiments and evaluations to assess model performance, reliability, and robustness, employing techniques such as hyperparameter tuning, cross-validation, and A / B testing.
- 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 :
ACADEMIC CREDENTIALS :
LI-RA1
LI- Remote
Qualifications :
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.
