RideCo is hiring a

Software Engineer in Algorithms & Optimization, for on-demand transit system

Waterloo, Canada
Full-Time

Role Summary:

This is an opportunity in the exciting and fast-growing transportation technology industry. Public transit is being transformed from a system of static, scheduled fixed-routes, to a dynamic on-demand network, and you will be one of the pioneers shaping this transformation.

As the newest member of our Algorithms & Optimization team, you will contribute to the complex suite of algorithms that power RideCo’s core ridesharing platform. The ideal candidate must possess a sound grasp of Algorithms and Data Structures, strong critical thinking and reasoning skills, and the ability to produce readable, maintainable, and working software programs from abstract concepts and ideas. You will thrive in a small-team environment with fast-paced agile iterations, where every developer contributes code that delivers a meaningful impact to our customers and the company.

 

Responsibilities:

At RideCo, you will be switching hats between Software Engineer, Researcher, and Data Scientist depending on the problem at hand.

As a Researcher, you will:

  • Stay abreast of the research publications in the fields related to vehicle routing and ridesharing algorithms.
  • Compare best-performing ridesharing benchmarks from research papers with RideCo’s to ensure that we are staying ahead of the competition.
  • Invent new algorithms to enhance the performance of our Optimization engine, both in terms of the quality of the solutions produced (e.g., sharing rate) and in terms of the speed at which we can converge to those high-quality solutions.
  • Produce scalable and performant solutions to computationally hard (and often intractable) problems.
  • Contribute to the invention of novel solutions to fleet partners’ operational problems by collaboratively working with product managers, co-developers, and our client success team.

 As a Software Engineer, you will:

  • Contribute to a distributed platform architecture design for smart partitioning of the problem space, caching mechanisms, and microservices.
  • Build systems to intelligently automate manual bottlenecks in service rollouts.
  • Expand the system’s capabilities to new features and use-cases while maintaining a high level of performance.
  • Prototype, iterate on, develop, and test the ideas and algorithms that you invent.
  • Build tools to gain greater visibility into the performance of our Optimization engine.

As a Data Scientist, you will

  • Enhance the accuracy of the ETAs in RideCo’s real-time traffic forecasting system.
  • Analyze ridership data to develop models to predict ride-demand, which will be used to reposition RideCo’s fleet of vehicles.
  • Fine-tune the hyperparameters in RideCo’s Optimization algorithms to extract greater value from the system.

 

Your playground / what you’ll learn:

At RideCo you’ll get a chance to play, learn and build with the following tools and technologies, and as part of a cross-functional team that is the world’s foremost innovator in on-demand transit software.

  • Languages: Python, JavaScript / Angular
  • Web Stack: Django, Flask, Gunicorn, Nginx
  • Mobile: Ionic, hybrid apps for Android and iOS
  • Logistics Engine: algorithms for real-time vehicle routing, Optimization
  • Mapping/Routing: OpenStreetMap, Open Source Routing Machine, Traffic forecasting algorithms
  • Infrastructure: AWS, Terraform, Redis, PostgreSQL, Celery, RabbitMQ
  • Health/Monitoring: AWS CloudWatch, Prometheus, Grafana, Elasticsearch, Logstash, Kibana
  • Development Processes: Agile, continuous integration, Jenkins, zero-downtime software updates

 

Qualifications and Experience:

Required:

  • 2+ years of experience in Software Development, preferably with high performance algorithms or data intensive applications.
  • A deep and intuitive understanding of Algorithms and Data Structures.
  • Ability to process, assimilate, and explain complex and abstract concepts from research publications.

Preferred:

Specialized knowledge. Seeking candidates with expertise in two or more of the following:

  • Combinatorics and Discrete Optimization
  • Online Algorithms
  • Data Science / Machine Learning
  • Open Street Maps or Open Source Routing Machine
  • Distributed computing / Web Scale architectures.

Education:

-  Master’s degree or PhD in Computer Science, Software Engineering, or related technical discipline.

 

Compensation and benefits:

Base salary: $75K - $100K + performance-based bonus or stock options

Work-Life Balance: Flex time, work from home, vacation time

Set-up: Adjustable height desk, high-end computer/laptop, three monitors, ergonomic seating

Benefits Plan: Dental, prescription, disability, massage and more

Food & Fun: Gourmet coffee, teas, juice, snacks, team lunches

 

Who we are:
http://www.rideco.com
RideCo powers on-demand transit. Public transit agencies use RideCo's cloud-based software platform to provide on-demand shared rides in dynamically routed buses, vans, and cars. Our clients include some of the world’s largest transportation operators such as San Antonio Metro, Los Angeles Metro, San Diego County, Grab, and Calgary Transit.

Have you experienced getting frustrated with transfers and waiting while taking a public bus? Have you seen buses drive around in low-density areas with very few passengers on-board and wondered how inefficient that seems to be? You're likely aware of the first & last mile access challenges faced by transit hubs. We are solving these problems by re-imagining shared mobility. Imagine a world where vehicles have dynamic routes responsive to real-time trip demand. This 'dynamic shuttle' (or van /sedan) would pick you up, on-demand, at or near your doorstep and take you to your destination or transit hub. Along the way, it may pick-up other passengers going in your direction. Your experience will be seamless: less waiting, less walking, fewer transfers, shorter travel time, and timely pickups and drop-offs. RideCo's 'dynamic shuttle' platform enables this seamless experience and low-cost shared rides for vehicle fleet operators and their passengers. By seamlessly moving more people in fewer vehicles we are catalyzing a generational shift in how people get around cities and towns. This means commuters spend less time in transit and more time doing what they enjoy.

RideCo powers a diverse range of use cases, including residential/ suburban travel; first-mile-last-mile connections for transit hubs; and corporate employee transportation. We are investing to scale up and capture the growing demand for on-demand shared rides solutions.

 

Contact

Send your resume (or link to your LinkedIn profile) and cover letter to:

[email protected]

Email Subject: “Software Engineer in Algorithms & Optimization, for on-demand transit system"

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