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.
Requirements
- Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset.
- Have completed 2+ projects that utilized optimization, reinforcement learning, and/or graph-based methods in either an academic or industry environment.
- Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics.
- Prior experience with SQL is a plus.
- Prior experience with graph-neural networks is a plus.
- Authorship of one or more high-impact publications is a plus.
Responsibilities
- Use optimization theory and/or reinforcement learning and/or graph-based methods to improve transportation networks.
- Own projects end-to-end, including data querying and cleaning, model/algorithm development, model/algorithm deployment, and, when necessary, building proof-of-concept web apps that leverage your models/algorithms.
- Hone your presentation and communication skills by giving regular reports on your progress and findings.
Other
- Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
- Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function.
- Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously.
- Can think on your feet and are curious, coachable, and self-motivated.
- Are an extraordinary communicator with demonstrated writing, editing and visualization skills
