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Strong employer brand and metro hiring but specialized senior ML role yields medium competition.
Requires advanced ML expertise and transportation optimization experience, so cross-industry transferability is moderate.
Explicit advanced degree and 6+ years plus mandatory ML expertise make shortlisting highly strict.
Lead and grow a team of Applied Scientists building large-scale ML forecasting and optimization systems for Amazon’s transportation network.
Define and own the scientific vision and roadmap for ML solutions impacting transportation planning, execution, and business metrics like customer experience and cost.
Ensure production-ready, scalable, and robust ML models using techniques including tree-based models, deep learning, LLMs, and reinforcement learning, collaborating with Product, Operations, and Engineering leaders.
3+ years experience building machine learning models for business applications.
PhD or Master’s degree with 6+ years of applied research experience.
Proficiency in programming languages such as Java, C++, or Python.
Experience with neural deep learning methods and machine learning.
Experienced leader able to mentor and guide applied scientists and influence cross-functional stakeholders.
Strong expertise in diverse ML techniques including deep learning and reinforcement learning for large-scale systems.
Capable of balancing near-term delivery with long-term ML innovation in a production environment impacting large-scale operations.