Senior Applied Scientist, Selling Partner Support Engagement

About the role

Titan's Science team is transforming seller support by building AI agents that autonomously resolve issues, learn from interactions, and continuously improve with minimal human intervention. These agents operate over real-world tools and APIs, requiring expertise in reinforcement learning, agentic architectures, and large-scale production systems.

Responsibilities

• Own end-to-end research and development of RL-based agent improvement systems — from problem formulation through production deployment and impact measurement.
• Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents.
• Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards.
• Collaborate with a team of scientists working on the forefront of Natural Language Understanding, Optimization, Machine Learning, and Statistics.
• Partner with 10+ engineering teams to deploy models into production systems serving sellers worldwide.
• Publish research at top venues (NeurIPS, ICML, EMNLP, AMLC) and actively support it.
• Raise the scientific bar through rigorous peer review, mentorship of junior scientists, and contribution to hiring.

Qualifications

• 7+ years of applied research experience
• 5+ years of building machine learning models for business applications
• PhD, or Master's degree and 5+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience in a variety of design, wire-framing, and prototyping tools
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity
• Experience identifying opportunities to integrate AI solutions into products and services to drive business value
• Experience building and scaling agentic system components like memory, retrieval, reasoning, and tool calling