Skild AI

Software Engineer, AI Training and Infrastructure

San Mateo, CA

Sponsorship not specified$100k-$300kDetected 42 days ago

PythonC++Data StructuresAlgorithmsAWSGCPAzureCI/CDMachine LearningDeep LearningTensorFlowPyTorchRoboticsTest Automation

About the role

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.
Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
You will explore new ways to efficiently make use of many types of data in our training pipeline.

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
Optimize training processes for performance and resource utilization, ensuring scalability and reliability.

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Minimum of 3 years of industry experience.
Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
Experience with cloud-based training environments (AWS, Google Cloud, Azure).
Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
Experience with continuous integration and automated testing frameworks.

Company Overview
Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude.
Position Overview

Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.

This listing is sourced directly from Skild AI's careers page and normalized into a canonical job model.