6 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
Skild AI builds a general-purpose robotic intelligence and software stack to train and deploy robots that adapt to varied, unseen tasks for commercial use. It offers a platform and models for robot manufacturers and enterprises automating physical work, with support for integration across manipulators and mobile systems. Founded in 2023 and headquartered in Pittsburgh, the privately held company raised a Series C in 2026.