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Senior Research Engineer
1 month ago
Skills Required:
- Proven experience in training large-scale machine learning and deep learning models
- Strong proficiency in popular deep learning frameworks such as TensorFlow, PyTorch, or similar
- Solid understanding of distributed computing, GPU acceleration, and parallel processing
- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
- Excellent problem-solving skills and the ability to troubleshoot complex issues in model training pipelines
- Strong communication and teamwork skills
- Experience with productionizing machine learning models is a plus
Qualifications Required:
To qualify for this position, you will need to meet the following requirements:
- Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field
We are looking for a highly skilled and experienced Senior Engineer. In this role, you will be responsible for architecting, designing, and implementing state-of-the-art training pipelines for our cutting-edge models. You will work closely with our research and engineering teams to develop and train models at scale, ensuring our organization stays ahead in the field.
- Model Training: Lead and manage the end-to-end process of training large-scale deep learning models, from data collection and preprocessing to model development and optimization.
- Architect and Design Training Pipelines: Design efficient and scalable training pipelines, incorporating best practices, distributed computing techniques, and the latest model training methodologies.
- Research and Innovation: Stay current with the latest developments in model training and implement innovative techniques to enhance model performance and efficiency.
- Performance Optimization: Identify and resolve performance bottlenecks in model training processes, optimizing for speed and resource utilization.
- Documentation: Maintain thorough documentation of model training processes, making it accessible to the broader team.
- Mentoring and Knowledge Sharing: Mentor junior engineers and actively participate in knowledge-sharing initiatives to foster a culture of learning and growth.
