"tensorflow" Jobs
127 open tech roles matching “tensorflow”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: TensorFlow, PyTorch, Python. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 127 results
Join Qualified Health as a Senior Platform Engineer to develop a cutting-edge Gen AI for Healthcare SaaS platform.
Join Orchard Robotics as a Senior Machine Learning Engineer to build solutions for AI-powered farming technology.
Join Instacart as a Senior Machine Learning Engineer to develop models for real-time inventory understanding in a fully remote role.
Join Airbnb as a Senior Machine Learning Engineer to develop AI systems that enhance trust and safety for millions of users.
Join insitro as a Senior Machine Learning Scientist to develop ML-driven computer vision pipelines for drug development.
Join CoreWeave as a Technical Support Engineer II to support users and enhance product features in a fast-paced AI environment.
Join Attentive as a Staff Software Engineer to build and scale ML systems for personalized marketing experiences.
Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.
Join Quora as a Software Engineer (New Grad) to work on their Machine Learning platform in a fully remote role.
Lead the development of a cutting-edge AI SaaS platform in healthcare as a Technical Lead Platform Engineer.
Develop machine learning-driven approaches for threat detection and security analytics at Illumio's Sunnyvale HQ.
Join Applied Intuition as a Robotic Software Engineer to develop AI/ML sensor algorithms for autonomous vehicles.
Join Airbnb as a Staff Machine Learning Engineer to lead impactful projects in relevance and personalization using cutting-edge AI technologies.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a dynamic startup environment.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a fast-paced environment.