AI Data Engineer

The primary consideration for this position is a preference for candidates with experience in robotics or reinforcement learning, rather than those specializing in natural language models or computer vision

- Create and uphold efficient, scalable, and distributed training systems-including data preprocessing, training orchestration, and model assessment-for training large-scale AI models.

- Enhance the efficiency of training procedures to improve performance and use of resources, 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 ML models.

- Perform training and 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.

- 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, parallel processing techniques, handling large-scale datasets and data preprocessing.

- 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.

2+ TensorFlow

2+ Any sort of machine learning packages.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.