Key Notes
From routing and ETA prediction to dynamic pricing and matching, this Wheely opening covers machine learning problems within passenger transport. You will take models from research through production in one of its Mapping, Matching, Pricing or Supply teams. The advert accepts mid-level and senior applicants, with respective experience thresholds of two and five years; London attendance is four office days plus one remote day, and pay is £90,000–£110,000. This is a full-time role.
What You'll Work On
- Work with engineers, designers and product managers to define solutions to ambiguous mapping, matching, pricing or chauffeur supply problems.
- Research, prototype and deploy machine learning models into production, taking ownership from initial ideas through implementation.
- Improve existing algorithms and identify further modelling opportunities in areas such as routing, ETA prediction, dynamic pricing or real-time matching.
What They Are Looking For
- Qualification: A strong academic background in a STEM subject.
- Experience: At least two years in data science or machine learning for mid-level appointments, or five years for senior appointments.
- Technical: A strong foundation in probability and statistics.
- Preferred: Geospatial or routing experience, operations research or combinatorial optimisation, and real-time or latency-sensitive ML deployment experience are advantageous.