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: $160,000 to $200,000 USD annually. Visa sponsorship is available.

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