CardinalTalent Machine Learning Engineer / AI Researcher Required Skills Machine Learning LLM Location Remote - US, Date Posted 12 hours ago Job Description About Us We are a Stanford-driven, forward-thinking AI research and product development company pioneering cutting-edge advancements in machine learning, deep learning, and AI infrastructure. Our team comprises world-class engineers, researchers, and visionaries who are pushing the boundaries of what’s possible with AI. The Role As a Machine Learning Engineer / AI Researcher, you will work on complex AI challenges, designing and optimizing large-scale models, and driving innovations that redefine industries. You will collaborate with top-tier talent in an environment that values technical excellence, creativity, and bold thinking. Responsibilities Develop and optimize large-scale machine learning and deep learning models. Research and implement state-of-the-art AI techniques to advance model performance. Design and scale AI infrastructure to support high-performance applications. Collaborate with researchers and engineers to push the limits of AI capabilities. Contribute to publications, patents, and open-source AI advancements. Requirements Expertise in machine learning, deep learning, and neural networks. Strong experience with frameworks like TensorFlow, PyTorch, JAX, or similar. Deep understanding of LLMs, transformers, diffusion models, or reinforcement learning. Proficiency in Python and/or C++, with experience in high-performance computing. Experience with distributed computing, GPUs, TPUs, and large-scale training. Track record of published research or real-world AI product impact. Why Join Us Work on groundbreaking AI innovations with top-tier talent. Access to massive computing power, proprietary datasets, and cutting-edge infrastructure. Upto $1MM per year salary. Flexibility to work remotely or in one of our offices with a world-class team. If you are a leader in AI and want to drive real-world impact at the highest level, we want to hear from you. Apply now.