The vacancy is well-structured with clear compensation and requirements but lacks detailed company information and specific KPIs.
Job description
You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.
Responsibilities
- Collaborate with engineers, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Strong academic background in a STEM field
- 2+ years of experience in Data Science or Machine Learning for mid-level
- Strong foundation in probability & statistics
- Nice to have: Experience with geospatial data or routing
- Nice to have: Background in operations research or combinatorial optimization
- Nice to have: Experience deploying real-time or latency-sensitive ML systems
Conditions
- Competitive salary
- Equity in the form of stock options
- Relocation allowance to cover flights/initial accommodation, and visa sponsorship and assistance
- Office lunches, as Wheely has an in-person culture
- Private medical insurance
- Newest Mac equipment
- Professional development: An annual stipend for continuing education courses, programs, conferences, or certifications
About Wheely
Wheely is a luxury ride-hailing platform built with privacy at its core, offering on-demand chauffeuring, concierge services, and a best-in-class app. The company combines luxury branding with advanced technology, operating across multiple international cities including London, Paris, Dubai, Moscow, and St. Petersburg.
Mobility/Ride-hailing· 200-1000· London, United Kingdom· Founded 2010