Algorithm Researcher

Reposted 10 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Mid level
Automotive • Mobile • Social Impact • Transportation
We’re putting our heads together to modernize mobility, one shared ride at a time.
The Role
Research and develop Via’s core transportation algorithms, using experimentation, data analysis, optimization, and analytical techniques to solve complex problems. Build reliable, production-quality services, analyze large datasets, improve algorithm performance, and take solutions from initial research through deployment. Collaborate with algorithm developers, researchers, data scientists, and software engineers while maintaining mission-critical cloud systems.
Summary Generated by Built In

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 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.

Compensation and Benefits:

  • Becoming part of a company that was awarded for its commitment to social good:
    • We are one of 17 Ventures That Embody the U.N.’s 17 Sustainable Development Goals
    • Inc. Magazine’s “Best in Business” Awardee in the software category for Companies That Put Purpose Before Profit
  • Competitive compensation including equity
  • A spacious office near Chancery Lane, where you can enjoy weekly team lunches
  • Comprehensive health scheme offered through AXA
  • Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents
  • Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?

Via is an equal opportunity employer.


Skills Required

  • M.Sc. or Ph.D. in Computer Science, Mathematics, Statistics, Operations Research, or a 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, including Kubernetes
  • Experience architecting and maintaining cloud systems

Via Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Via and has not been reviewed or approved by Via.

  • Fair & Transparent Compensation — Pay is considered fair or competitive in some roles, with mentions of high base salaries and achievable incentives. Feedback suggests equity is available and sometimes easy to exercise after vesting.
  • Equity Value & Accessibility — Equity is referenced as part of the package and viewed positively in certain cases. Feedback suggests equity terms can be favorable and contribute to overall compensation satisfaction.
  • Healthcare Strength — Healthcare benefits are highlighted as a strong point within the benefits package. Feedback suggests health coverage is valued by some employees.

Via Insights

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The Company
HQ: New York, NY
Year Founded: 2012

What We Do

We build technology that changes the way the world moves. Our guiding principle is simple: the future of transportation is dynamic, shared public mobility — the kind that reduces carbon emissions across cities, compliments existing transit infrastructure, and provides equitable access to efficient, affordable ways of getting around. For everyone.

Why Work With Us

You’ll work in an established startup that’s growing at staggering speed. We have plenty of room for the most bold among us to dream it up and make it happen. You’ll be empowered to experiment, and encouraged to challenge what we’ve already done while making stuff no one’s even thought of yet.

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