What the work is
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.
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.
Who gets hired
- 4+ years of dedicated professional or research experience in machine learning, data science or scientific computing at a recognized, top-tier organization or research university (an MS or PhD in a quantitative field counts toward this).
- Production or research experience with PyTorch, JAX or TensorFlow, and strong Python (NumPy, pandas, scikit-learn).
- Publications, open-source contributions or shipped ML systems are a strong plus.
- Demonstrable career progression.
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
The platform posted this on 9 Nov 2026.