Embedded Research Scientist

Percepta applies artificial intelligence to transform critical institutions and industries through customer-embedded engineering, product, and research teams. The Embedded Research Scientist will advance AI research in post-training, reinforcement learning, agentic modeling, and specialized architectures while translating breakthroughs into production systems and measurable customer outcomes.

Responsibilities:

• Work directly with customers to identify high-impact research problems at the intersection of frontier AI capabilities and critical business needs
• Design and execute research strategies across LLM post-training, RL, agentic modeling, and specialized model development that address customer-specific challenges
• Prototype and scale training pipelines, experiment with model architectures, optimization techniques, and post-training strategies with rapid iteration cycles based on customer feedback
• Conduct customer-facing evaluations at scale that demonstrate clear business value and drive adoption of AI systems in production environments
• Translate ambiguous business problems into concrete research questions, and translate research outcomes back into actionable insights for both technical and non-technical stakeholders
• Partner closely with Applied AI Engineers to transition successful research ideas into robust, production-ready features of our Mosaic platform
• Build trusted relationships with customer technical teams and executives, helping them understand how cutting-edge research can solve their specific problems
• Contribute to infrastructure for high-performance distributed training and establish reusable patterns that accelerate future research and deployment