Machine Learning Architect Leader
2 tygodni temu
Company Overview
At AMD, we're pushing the limits of innovation to solve the world's most important challenges. 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.
The Role
We're looking for a strategic Machine Learning architect engineering leader who is passionate about creating new algorithms with GPUs on image processing, rendering. As a member of our core team, you will work with the very latest hardware and software technology.
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.
- Excellent Communication Skills: for collaborating with team members and presenting findings or proposals.
- Cross-Functional Collaboration: with data scientists, engineers, and domain experts to understand requirements, develop prototypes, and deploy production-ready machine learning solutions.
- Staying Up-to-Date with Latest Advancements: in machine learning algorithms, frameworks, and tools, incorporating best practices into model development and architecture design.
- Model Optimization: for deployment on various platforms including cloud infrastructure, edge devices, and embedded systems, balancing performance, resource constraints, and scalability requirements.
- Experiments and Evaluations: to assess model performance, reliability, and robustness, employing techniques such as hyperparameter tuning, cross-validation, and A/B testing.
- Mentoring Junior Team Members: providing guidance on machine learning concepts, programming techniques, and software development practices to foster skill development and team growth.
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