"human preference model" Jobs
2269 open tech roles matching “human preference model”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2269 results
Join HappyRobot as a Global Employer Branding & Events Manager to showcase company culture and attract top talent worldwide.
Lead the policy design team at Anthropic to manage consumer harms related to AI systems.
Join Goodfire as a Research Scientist to develop techniques for understanding and steering large AI models with a mission-driven team.
Join PagerDuty as a Senior HR Business Partner to enhance employee engagement and drive HR initiatives in a fast-paced environment.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.
Join Sesame as a People Lead to build a strong People function and support the company's growth while maintaining its unique culture.
As Data Operations Manager, you'll scale data operations for AI research teams, ensuring high-quality data pipelines and strategic vendor partnerships.
Join Synthesia as a Staff Research Engineer to shape the future of interactive multimodal systems in AI video communication.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join Anthropic as a Research Scientist to enhance AI capabilities in life sciences, collaborating with top researchers in a hybrid work environment.
Join Sesame as an ML Model Serving Engineer to enhance our serving layer for voice agents with cutting-edge techniques.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Join Anthropic as a Product Policy Manager to assess product safety risks and drive responsible AI deployment.