Production-Grade Algorithm Researcher (Equity) in London

Production-Grade Algorithm Researcher (Equity) in London

London Full-Time 63000 - 77000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Design and implement cutting-edge algorithms for live transportation systems.
  • Company: Join Via, a leading global transportation technology company.
  • Benefits: Competitive salary, equity options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and research.
  • Why this job: Make a real impact in the future of transportation technology.
  • Qualifications: MSc or PhD in a quantitative field with 3+ years in algorithm development.

The predicted salary is between 63000 - 77000 Β£ per year.

Via, the global transportation technology company, is seeking an Algorithm Researcher in London to join the core Algo group.

You will design and implement core algorithms, work with researchers, data scientists and software engineers, and turn research into production systems that run on live servers.

The role requires a strong academic background (MSc or Ph D in a quantitative field) and 3+ years in algorithm development or data science, with Python expertise and cloud experience (Kubernetes).

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Production-Grade Algorithm Researcher (Equity) in London employer: Via Transportation, Inc.

At Via, we are committed to fostering a dynamic and inclusive work environment that empowers our employees to make a meaningful impact on global transportation. As a Strategy & Operations Associate, you will benefit from a culture of collaboration and innovation, with ample opportunities for professional growth and development. Our comprehensive benefits package, including free medical plans and 401K matching, reflects our dedication to supporting your well-being while you contribute to our ambitious goals.

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Contact Details:

Via Transportation, Inc. Recruitment Team

We think you need these skills to ace Production-Grade Algorithm Researcher (Equity) in London

Algorithm Development
Data Science
Python
Cloud Experience
Kubernetes
Research Implementation
Collaboration with Researchers