Senior Software Engineer, Optimizer

Join a small team building and evolving AI-powered scheduling technology for the education sector. You will work across mathematical optimization machine learning and full-stack engineering to solve complex scheduling problems and help users work more effectively with the technology.

• Build and extend a core optimization engine using mixed-integer and linear programming along with its supporting backend systems and infrastructure.
• Explore and implement machine learning and AI approaches that improve scheduling accuracy speed and accessibility.
• Work across the stack with a focus on backend development and some frontend work to help users interact with optimization tools.
• Own mission-critical systems end to end including on-call support troubleshooting and collaboration with non-technical teams.
• Lead complex technical projects contribute to delivery decisions and provide technical guidance to teammates.

• Four to ten years of software engineering experience shipping production software and leading complex technical work.
• Experience building a mission-critical algorithm optimization module or production machine learning model for a key product area.
• Knowledge of linear optimization or mathematical programming including experience with solvers or tools such as Gurobi or CP-SAT.
• Strong backend experience with Python APIs asynchronous task processing scalable applications AWS Terraform CI/CD and cloud infrastructure.
• Full-stack product experience including a willingness to contribute to frontend work testing observability and monitoring.
• A technical degree and strong communication skills with experience collaborating with non-technical stakeholders and teams across Europe and India time zones including early-morning overlap.

Base salary: $160000 to $200000 USD annually. Visa sponsorship is available.

Remote within the United States. Primary location: Boston Massachusetts.