4 months ago
Bengaluru, India +2 moreMid Level
H1B Sponsor
Base Salary
$100k - $300k/yr
Responsibilities
- Develop and maintain robust, scalable, distributed training pipelines covering data preprocessing, training orchestration, and model evaluation.
- Optimize training processes for performance, resource utilization, scalability, and reliability.
- Collaborate with researchers and machine learning engineers to integrate advanced algorithms and techniques into training pipelines.
- Monitor and analyze training systems, identify bottlenecks, and propose efficiency improvements.
- Maintain robust and reliable training infrastructure, including automated testing and continuous integration.
- Explore efficient ways to use diverse data types in the training pipeline.
Requirements
- A BS, MS, or higher degree in Computer Science, Robotics, Engineering, or a related field, or equivalent practical experience.
- At least 3 years of industry experience.
- Proficiency in Python, C++, or a similar language, plus at least one deep learning library such as PyTorch, TensorFlow, or JAX.
- Strong background in distributed computing, parallel processing, large-scale datasets, and data preprocessing.
- Deep understanding of current machine learning techniques and models.
- Experience with cloud-based training environments such as AWS, Google Cloud, or Azure.
- Experience developing and maintaining machine learning software tooling and infrastructure.
- Strong understanding and practical experience with algorithms, data structures, system design, and software engineering principles.
- Experience with continuous integration and automated testing frameworks.
About Skild AI
Building general purpose robotic intelligence.