AI Training & Infrastructure Engineer

Skildai Careers; San Mateo (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Skildai Careers is seeking a Software Engineer to develop and optimize software infrastructure for cutting-edge AI models. This role involves creating training pipelines, collaborating closely with researchers, and ensuring the scalability and reliability of systems in real-world applications.

The ideal candidate should possess a strong background in Python, distributed computing, and machine learning techniques with 3+ years of experience, willing to push the boundaries of technology in robotics.

Qualifications

• Minimum of 3 years of industry experience.
• Experience in developing and maintaining software tooling and infrastructure for machine learning.
• Experience with continuous integration and automated testing frameworks.

Responsibilities

• Develop and maintain robust, scalable, and distributed training pipelines.
• Optimize training processes for performance and resource utilization.
• Collaborate with researchers and machine learning engineers.
• Monitor and analyze training to identify and resolve bottlenecks.
• Ensure robustness and reliability of the training infrastructure.

Skills

Proficiency in Python

C++ or similar

Deep learning libraries (e.g., PyTorch, TensorFlow)

Distributed computing

Parallel processing techniques

Handling large-scale datasets

Machine learning techniques

Software engineering principles

Education

BS, MS or higher degree in Computer Science, Robotics, Engineering or related field

Tools

Cloud-based training environments (AWS, Google Cloud, Azure)

Job description

Skildai Careers is seeking a Software Engineer to develop and optimize software infrastructure for cutting-edge AI models. This role involves creating training pipelines, collaborating closely with researchers, and ensuring the scalability and reliability of systems in real-world applications.

The ideal candidate should possess a strong background in Python, distributed computing, and machine learning techniques with 3+ years of experience, willing to push the boundaries of technology in robotics.