Key Responsibilities
- Develop and deploy machine learning features to enhance system capabilities
- Scale model training and build data pipelines to improve performance
- Implement pioneering ML algorithms and iterate on ideas
- Design and optimize on-device inference for efficiency
- Define datasets and metrics for novel tasks
- Prototype and iterate solutions to high-quality implementations
Requirements
- Proficiency in Python and deep learning frameworks like PyTorch
- Experience training deep learning models and performing error analysis
- Familiarity with recent advances in deep learning and computer vision
- Strong problem-solving skills and analytical mindset
- Curiosity and eagerness to tackle unfamiliar problems