Senior Applied Scientist at MaintainX

Join MaintainX as a Senior Applied Scientist and solve complex scheduling challenges using Python. Drive innovation in scheduling optimization while collaborating with cross-functional teams. In this strategic role, you will manage the Scheduling Agent's Python optimization service, focusing on real-world constraints. You'll develop sophisticated scheduling capabilities and robust API routes for GenAI integration. Collaboration with product managers and designers will be crucial as you iterate on features based on user feedback. Key Responsibilities:

• Own the Python optimization service for the Scheduling Agent
• Implement sophisticated scheduling capabilities with diverse constraints
• Develop robust API routes for seamless GenAI integration
• Collaborate with cross-functional teams to define solver constraints
• Iterate solver responses using real user feedback

Requirements:

• 5+ years of software engineering experience
• Strong command of CP-SAT and alternative methods
• Extensive Python service design expertise
• Proven track record of user-involved iteration
• Familiarity with GenAI tools is beneficial

Bring your analytical skills to MaintainX and revolutionize scheduling optimization. #J-18808-Ljbffr