"federated learning" Jobs
686 open tech roles matching “federated learning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 686 results
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative environment.
Join Kikoff as a Senior Machine Learning Engineer to develop and maintain ML infrastructure for financial services.
Lead program design and facilitate impactful learning experiences for CX professionals at Gusto.
Join Cartesia as a Researcher to enhance multimodal models through innovative post-training methods and alignment techniques.
Join Coinbase as a Machine Learning Engineer Intern to build ML models and pipelines for enhancing platform security and user experience.
Join Genmo as a Research Scientist to lead initiatives in alignment and post-training for large-scale video generation models.
Join Lyft as an Applied Scientist Intern to develop AI-driven user simulation methods for rider behavior analysis.
Join Okta as a Staff Software Engineer to build a scalable AI platform that addresses complex engineering challenges.
Join Lyft's ETA team as a Machine Learning Engineer to enhance ride experience through accurate ETA predictions.
Join Lyft as a PhD Machine Learning Software Engineer Intern to tackle open research problems impacting millions of riders.
Join Cartesia as a Researcher to advance neural network architecture design in a collaborative, innovative environment.
Join Pinterest as a Machine Learning Engineer II to advance vision-centric LLMs and contribute to innovative AI solutions.
Join Suno as a Machine Learning Engineer to develop innovative recommendation models for music discovery.
Join Figma as a Federal Compliance Manager to ensure adherence to FedRAMP cloud security standards and enhance the company's security posture.
Join EliseAI as a Junior Research Scientist to develop machine learning models in a fast-paced startup environment.