AI Engineer - Machine Learning

Talent Software Services - Redmond, WA

Full-time - Entry Level

Redmond, WA

Administrative and Support Services

About the position

Talent Software Services is seeking an AI Engineer - Machine Learning for a contract position in Redmond, WA. This role focuses on developing and improving software foundations and tools essential for training advanced AI models, particularly in robotics and reinforcement learning. The engineer will create scalable training infrastructures and frameworks, ensuring smooth integration and functionality of training systems while exploring innovative methods to utilize diverse datasets.

Responsibilities

• Create and uphold efficient, scalable, and distributed training systems including data preprocessing, training orchestration, and model assessment for large-scale AI models.
• Enhance the efficiency of training procedures to improve performance and resource utilization while maintaining scalability and dependability.
• Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms.
• Develop and design benchmarks for evaluating client models.
• Perform training and fine-tuning of foundation models for robotic applications.
• Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance.
• Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.

Requirements

• 2-5 years of overall experience in the field, with a preference for 5+ years if possible.
• A Bachelor's degree in computer science or a related field is required.
• Minimum 2+ years experience with Linux.
• Minimum 2+ years of experience with Python.
• Minimum 2+ years experience with configuration management.
• 2+ years experience with ROS/ROS2.
• 2+ years experience with TensorFlow.
• Experience with any sort of machine learning packages.

Nice-to-haves

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Strong background in distributed computing and parallel processing techniques.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience with cloud-based training environments (AWS, Google Cloud, Azure).
• Experience in developing and maintaining software tooling and infrastructure for machine learning.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Experience with continuous integration and automated testing frameworks.

Benefits

• Contract position with a strong chance for long-term extension.