"deep learning frameworks" Jobs
3203 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 3203 results
Join Cloudflare as a Senior Machine Learning Engineer to optimize and productionize ML models for a global serverless inference platform.
Join Edra as a Forward Deployed AI Engineer to build LLM-powered systems for enterprise customers in a hands-on engineering role.
Join Hebbia AI as a Backend Engineer to build scalable solutions for advanced AI-driven investment analysis.
Join Twelve Labs as a Senior AI Engineer to build the integration layer for their multimodal video AI system.
Lead Protege's DataLab to define research strategies and drive impactful AI data initiatives.
Join Skild AI as a Research Engineer to enhance and deploy robotic intelligence in real-world environments.
Join DeepL as a Senior Performance Marketing Manager to shape customer acquisition strategies through paid media globally.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Join Applied Intuition as a Senior Software Engineer to design and implement ML infrastructure for deep learning model training.
Join Applied Intuition as an AI Performance Engineer to optimize large-scale machine learning workloads in a collaborative environment.
Join Genmo as a Research Scientist to innovate in diffusion models for text-to-video generation.
Join Hedra as a Research Scientist to lead innovative research in generative AI and physical systems with access to large-scale compute.
Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.
Design and implement state-of-the-art ML models and systems for Stripe Capital, collaborating with product teams to drive business goals.
Join EliseAI as a Junior Research Scientist to develop machine learning models in a fast-paced startup environment.