Senior Algorithms Developer

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As an Algorithms Developer at Via, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team turns complex, multi-dimensional operational challenges into real-time optimization that powers Via’s mass-scale automated dispatch system. You will explore rich, diverse data sets, develop algorithms that make smart decisions at scale, and have a direct impact on the efficiency, reliability, and quality of our service. This is an opportunity to combine deep technical expertise with real-world operational impact at global scale.

• Model and mathematically represent competing demands on Via’s system to enable scalable, real-time decision-making.
• Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
• Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
• Collaborate closely with engineering, product, and operations teams to translate complex algorithmic insights into practical, impactful solutions.

• Advanced degree (M.Sc. or PhD) in Computer Science, Mathematics, Physics, or a related field.
• Significant research background and hands-on experience developing algorithms
• 3–4+ years of experience implementing algorithms in practical, production-scale systems.
• Analytical thinker who can extract the essential elements of complex, real-world problems and convert them into actionable models.
• Hands-on coder with experience in Python (or similar) and the ability to turn ideas into working solutions.
• Naturally curious, fast-learning, and collaborative, with strong interpersonal and communication skills.