"deep learning frameworks" Jobs
3200 open tech roles matching “deep learning frameworks”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 3200 results
Join Edra as an AI Engineer to build complex LLM-based systems that enhance enterprise AI processes.
Join Sesame as a Research Engineer to innovate in NLP, Speech, and Computer Vision with a focus on deep learning.
Join Reflection AI as a Member of Technical Staff to research and build solutions for large language models in a fast-paced startup environment.
Join a small team to build state-of-the-art AI capabilities for Cylake's next-generation cybersecurity platform.
Join Baseten as a senior software engineer to develop cutting-edge AI training products and enhance user workflows.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Lead a team of MLOps engineers at an AI company transforming enterprise decision-making.
Join Reddit as a Senior Machine Learning Systems Engineer to build next-gen ML research tools and platforms for Ads ML lifecycle.
Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.
Join Edra as an AI Engineer to build LLM-powered systems that enhance enterprise AI processes in a collaborative, onsite environment.
Join Fundamental as a senior software engineer to enhance ML model development and infrastructure in a pioneering AI startup.
Join Sesame as an ML Model Serving Engineer to enhance our serving layer for voice agents with cutting-edge techniques.
Join Baseten as a Software Engineer to architect and develop scalable infrastructure for ML training platforms.
Join Ambient.ai as a Senior Applied Research Scientist to develop cutting-edge foundation models for computer vision in a hybrid work environment.
Join Hedra as a Research Engineer to lead the development of action-conditioned world models in a pioneering Physical AI team.