"reward modeling" Jobs
587 open tech roles matching “reward modeling”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 587 results
Join HappyRobot as a Data Scientist to turn complex data into insights that influence product and ML roadmaps.
Join Reflection AI to build systems that transform pre-trained models into aligned agents in a fast-paced startup environment.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Join Anthropic as a Research Engineer to advance AI models' silicon design capabilities within a hybrid work environment.
Join Braze as a Staff Software Engineer to lead AI decisioning initiatives and mentor a passionate engineering team.
Lead the development of Decagon's total rewards strategy, focusing on compensation and benefits as the company scales.
Join HappyRobot as a Performance Marketing expert to scale demand generation efforts in a high-growth AI startup.
Join Baseten as a Post-Training Research Engineer to build in-house tooling for efficient and high-quality machine learning models.
Join Labelbox as a Staff ML Engineer to shape AI training environments and systems in a high-impact, fast-paced setting.
Lead the design and implementation of performance management programs at Reflection AI to support talent development and organizational growth.
Join Anthropic as a Research Engineer to enhance AI capabilities in finance, healthcare, and legal domains through applied research and data sourcing.
Join Distyl AI as a Senior Applied AI Researcher to redefine AI utilization in enterprise with cutting-edge research and technology.
Join Gusto as a Senior Compensation Partner to build and scale compensation programs that attract and retain top talent.
Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.