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Algo Researcher

ViaTel Aviv
Hybrid Full-time

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Experience Level

Experience

Qualifications

What We Are Looking For:M. Sc. or PhD in Computer Science, Mathematics, Physics, or related fields. Proven research experience in relevant disciplines. Deep understanding of algorithms, with expertise in graph theory and combinatorial optimization. Minimum of 2 years of practical experience in designing, developing, and deploying production-level algorithms. Strong analytical skills to distill complex real-world problems into effective mathematical models. Proficiency in Python programming is a plus. Quick learner with the ability to grasp new concepts and methodologies swiftly. Excellent communication and interpersonal skills. Hands-on approach with the capability to transform ideas into functioning code.

About the job

At Via, we are revolutionizing global transportation through advanced technology. Our mission spans from transforming individual commutes to significantly reducing the environmental impact of travel, ambitious goals that we are determined to achieve.

As an Algorithm Researcher at Via, you will be part of a dynamic team dedicated to analyzing extensive data sets and developing optimization algorithms that facilitate our large-scale, complex automated dispatch systems.

Your Responsibilities:

  • Develop mathematical models to address the competing demands on Via's system.
  • Create online algorithms for real-time decision-making aimed at maximizing system efficiency while ensuring high service quality for riders.
  • Design and implement scalable algorithmic solutions that meet the challenges of real-world operations.
  • Utilize advanced statistical techniques to assess demand, traffic patterns, and fleet performance, driving insights to enhance algorithm development.

About Via

Via is at the forefront of transforming transportation globally. We utilize cutting-edge technology to improve travel experiences, aiming to create more sustainable and accessible urban environments. Join us in making cities greener and enhancing mobility for millions of users.

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