RideCo Hiring for Software Engineer in Algorithms & Optimization – Junior at Waterloo, ON 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, and Data Scientist depending on the problem at hand.

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.

Work with the team to convert prototypes for novel optimization algorithms into a production-ready and deployable product.

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:
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:
A Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline.

Compensation and benefits:
Base Salary: $90K- $110K + performance-based bonus or stock options.

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

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

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 and vans. Our clients include some of the world’s largest transportation operators such as Los Angeles Metro, Houston Metro, San Antonio Metro, 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 are 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.

RideCo is proud to be an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. At RideCo, we celebrate diversity, and we thrive on it for the benefit of our employees, our customers, our products, and our community. We believe the more inclusive we are, the better our work will be. Please let us know if you require accommodation during the recruitment process.