Machine Learning Architect Leader

2 tygodni temu


Warszawa, Mazovia, Polska AMD Pełny etat

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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