Scientific / ML Engineer
CodingUnited StatesPart-timePosted Nov 9
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.
Overview
Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Machine Learning Engineers and Scientific Computing experts with hands-on expertise in machine learning, deep learning frameworks and scientific computing to bring hands-on technical and research excellence and elevate the quality of our AI training data.
This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.
Key Responsibilities
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in machine learning and scientific computing, model training and evaluation, and numerical and scientific software topics.
- Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to machine learning and scientific computing problems.
- Evaluate machine learning and scientific computing tasks and solutions and provide clear, written technical feedback.
- Design and evaluate technical tasks covering model training, experiment design, data pipelines and scientific simulations, with runnable reference solutions.
- Develop rubrics to assess the methodological soundness, correctness and reproducibility of ML and scientific work.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.