"ml frameworks" Jobs
482 open tech roles matching “ml frameworks”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, GCP. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 482 results
Join Graphcore as a Senior Software Engineer to enhance the build and integration processes of their Machine Learning Software Stack.
Join Truecaller as a Senior ML Engineer to design and deploy ML models that enhance communication safety and efficiency.
Join Rain as a Machine Learning Engineer to build scalable systems for fraud detection in a fast-paced, hybrid work environment.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Join Blockchain.com as a senior MLRO & Compliance Officer to oversee compliance operations in a fast-evolving regulatory environment.
Join Meter as a Regulatory Counsel to guide its path to becoming an ISP while building compliance programs and advising on data privacy.
Join Cresta as a Senior Machine Learning Engineer to lead the development of next-generation AI systems for enhancing customer experiences.
Join Fundamental as a Data Scientist to enhance AI-driven enterprise decision-making through innovative data science methods.
Join CoreWeave as a Senior Software Engineer II to build cutting-edge research infrastructure for AI labs.
Own measurable performance improvements across the full patient lifecycle as a Senior Lifecycle Marketing Manager at Talkiatry.
Join Mirage as a Software Engineer to design and build AI-driven systems that enhance creative workflows for short-form video.
Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.
Join Truecaller as a Senior ML Engineer to optimize ML models for mobile devices and enhance data privacy.
Own the AI Training Infrastructure narrative at CoreWeave, shaping competitive positioning and customer proof strategies.
Own Sarvam's production serving path for large distributed models, integrating and optimizing performance across a multi-node stack.