ML Architect Engineer
Skills
Computer ScienceArchitectureOperating System DevelopmentOralPresentationsSystem Development
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Expertise in Machine Learning with deep learning and reinforcement learning
- Strong proficiency in Python
- Ability to work with D3D12
- Comprehensive understanding of general software development workflows
- Proficient in English
- Collaborate with cross-functional teams
- Research latest advancements in ML
- Optimize ML models for various platforms
- Conduct thorough experiments and evaluations
- Document code and methodologies
- Mentor junior team members
Nice to have
- leadership
- effective communication
- problem-solving
- proficiency in C++
- knowledge of 3D graphics
- expertise in scalable model architectures
Day to day
- Lead creation of new algorithms with GPUs on image processing and rendering
- Collaborate with a talented core team using latest tech
- Drive problem resolution across various teams