Algorithm Researcher

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint - we’ve got huge goals.

As an Algorithm Researcher at Via, you’ll join our R&D center in London, as part of the Core R&D group, which is responsible for developing and maintaining Via’s proprietary algorithms and the services that run them in production. The role sits at the intersection of algorithm development, data science, and software engineering. You’ll work on complex algorithmic problems, explore and evaluate different approaches, and turn your solutions into reliable production systems that support Via’s transportation networks around the world. If you enjoy combining analytical thinking, algorithms, data, and hands-on development, this position might be just for you!

• →Design, develop, and improve Via’s core algorithms and business logic, solving complex real-world problems.
• →Explore and evaluate algorithmic approaches using data, experimentation, and analytical methods.
• →Develop and maintain mission-critical services that bring algorithmic solutions into production.
• →Work with large datasets to analyze system behavior and improve the performance of our algorithms.
• →Take ownership of complex technical problems, from initial research and exploration through to production.
• →Work in close collaboration with algorithm developers, researchers, data scientists, and software engineers.

• M.Sc. or Ph.D. in Computer Science / Mathematics / Statistics / Operations Research / similar quantitative field.
• 3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic focus.
• Strong knowledge of algorithms, data structures, and analytical problem-solving.
• Strong Python skills and experience developing production-quality code.
• Experience working with data and applying data science, optimization, or analytical techniques to solve complex problems.
• Experience taking algorithms, models, or prototypes and turning them into production systems.
• Experience with DevOps and cloud infrastructure (Kubernetes, etc.) — strong advantage.
• Experience in architecture and maintaining cloud systems — strong advantage.
• Curious and analytical: you enjoy exploring different approaches and understanding the data behind your solutions.
• Pragmatic: you can break complex problems into smaller problems and find simple, effective solutions.
• Hands-on: you enjoy taking ideas from research or experimentation all the way into production.