Algorithm Researcher

🏢 Via · 📍 London

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Position Summary & Responsibilities

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!

What You'll Do:

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.

Who You Are:

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

🎯 Candidate Preparation Guide For Via Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing systems-level problem solving, algorithmic optimization, and the ability to scale complex physical-digital logistics networks.

📋 Preparation Priorities (Key Areas to Clarify):

1. Over-complicating technical solutions without validating business impact
2. Inability to collaborate effectively across multidisciplinary engineering and operations teams
3. Dismissive attitude toward the operational realities of public transit and municipal clients

✨ Recommended Role Alignment Hook:

I specialize in turning messy, real-world logistical constraints into streamlined, scalable software systems that drive massive operational efficiency.

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