AI Training Infrastructure Engineer for Scalable ML

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

Job summary

Skild AI in San Mateo, California is seeking a passionate Software Engineer to develop and optimize AI training pipelines and frameworks. The role involves collaborating with researchers and engineers to support the machine learning lifecycle from data preparation to model deployment.

Applicants should have a background in Computer Science or related fields, along with proficiency in programming and cloud environments. The position offers a competitive salary range of $100,000 - $300,000 USD.

Qualifications

• Minimum of 3 years of industry experience.
• Experience in developing and maintaining software tooling and infrastructure for machine learning.
• Deep understanding of state-of-the-art machine learning techniques and models.

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.

Skills

Proficiency in Python

Proficiency in C++

Experience with deep learning libraries (PyTorch, TensorFlow, JAX)

Strong background in distributed computing

Familiarity with cloud-based training environments (AWS, Google Cloud, Azure)

Education

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

Job description

Skild AI in San Mateo, California is seeking a passionate Software Engineer to develop and optimize AI training pipelines and frameworks. The role involves collaborating with researchers and engineers to support the machine learning lifecycle from data preparation to model deployment.

Applicants should have a background in Computer Science or related fields, along with proficiency in programming and cloud environments. The position offers a competitive salary range of $100,000 - $300,000 USD.