The world's largest shared electric vehicle program needs to solve the complex optimization problem of deploying and rebalancing vehicles across a dynamic city to ensure availability for users, aiming for a future where transportation is shared, affordable, and carbon-free.
Requirements
- Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark, Pandas).
- Skilled at turning data exploration and insights into business-impacting projects, including applying machine learning to drive measurable value.
- Experienced in taking ML models from prototype to production, including deployment, monitoring, and iteration.
- Expertise in time-series modeling and demand forecasting at scale.
- Background in optimization or operations research, particularly applied to logistics, scheduling, or large-scale planning problems.
- Familiarity with A/B testing, causal inference, or other experimentation methods to evaluate ML-driven impact.
- Experience with geospatial or spatiotemporal data in applied ML.
Responsibilities
- Build and improve the organization's demand forecasting and vehicle positioning algorithms to ensure riders have access to a scooter or bike when and where they need it.
- Drive execution of the multi-year ML strategy, applying state-of-the-art technologies, processes, and techniques to production systems at global scale.
- Collaborate with product managers, data scientists, engineers, and operations leaders to make high-impact technical and product decisions.
- Mentor and coach engineers, raising the bar on ML expertise and engineering excellence across the team.
- Design, build, and scale ML systems that power decisions for vehicle deployment and rebalancing.
- Partner with data scientists, operators, and engineers across the stack to deliver solutions that bridge cutting-edge algorithms with real-world execution.
Other
- 5+ years of professional software engineering and ML experience, with a track record of building and scaling successful products.
- Strong collaborator who thrives in cross-functional environments, partnering with product, operations, and engineering teams to translate business needs into technical solutions.
- Passionate about mentoring and raising the technical bar, helping teammates grow and shaping team culture.
- If this role excites you it is encouraged to apply.
- This organization is an Equal Opportunity Employer, but that’s just the start. It is believed that different perspectives help growth and achievement. That’s why there is a dedication to hiring and developing the most talented and globally diverse team, which includes individuals with different backgrounds, abilities, identities and experiences.
