17 hours ago
Doha, QatarSenior
Responsibilities
- Develop and deploy machine learning and optimization algorithms for autonomous logistics coordination across couriers, ground robots, and drones.
- Design optimization strategies for task allocation, routing, scheduling, dispatch, battery utilization, charging, and delivery sequencing.
- Develop and train multi-agent reinforcement learning, demand forecasting, spatiotemporal prediction, graph-based, and predictive-control models.
- Integrate models into the Robotics-as-a-Service orchestration platform with platform and backend engineers for reliable, low-latency decisions.
- Evaluate models using routing efficiency, ETA accuracy, coordination latency, energy impact, offline benchmarks, simulation, and field pilots.
- Support model lifecycle management through monitoring, retraining strategies, and model-drift mitigation.
- Document architectures, assumptions, validation results, and experimentation methods for R&D reporting and stakeholder alignment.
Requirements
- Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, Data Science, Operations Research, or a related field; a PhD is a plus for research-driven optimization work.
- 2–4 years of backend development experience with strong Python and C++ skills.
- Experience building backend services with FastAPI, Flask, or Django and designing RESTful APIs.
- Experience with AWS services, event-driven and serverless architectures, IAM, environment configuration, and cloud security practices.
- Hands-on experience with reinforcement learning, multi-agent reinforcement learning, routing and scheduling optimization, time-series or spatiotemporal modeling, graph neural networks, or energy optimization and predictive control.
- Strong understanding of evaluation methodologies, metrics, baselines, A/B testing, and offline or online validation.
- Experience with large-scale datasets, feature engineering, and model deployment constraints.
- Strong analytical, problem-solving, communication, documentation, ownership, and cross-functional collaboration skills.
- Familiarity with simulation environments, digital twins, synthetic data, real-time systems, streaming data pipelines, and model monitoring is advantageous.
- Logistics, last-mile delivery, fleet routing, or mobility analytics experience is advantageous.
Benefits
- Remote work with global collaboration.
- Learning budgets and access to courses and tools.
- Autonomy over tasks and career direction.
- Flexible time off and wellness policies.
- Equal opportunity workplace with diversity and inclusion commitments.
- Opportunities to contribute to sustainability and community-focused initiatives.
Categories
ML EngineeringRobotics
About Snoonu
Snoonu builds a consumer super app in Qatar that aggregates food, grocery, retail, and courier services with on-demand last-mile delivery. Its marketplace connects local merchants and riders to consumers, generating revenue from commissions, delivery fees, and B2B logistics services. Founded in 2019 and headquartered in Lusail, it operates across Qatar and is owned by Jahez International Company.