Vacancy Description
Description
The Fleet Performance Optimization (FPO) organization builds the intelligence layer for Amazon Robotics manipulation workcells. We own the systems that select what work a robot should attempt, monitor how it performs, and close the loop by improving models with every induct. Our platforms serve Sparrow, Cardinal, FlexCell, and Robin workcells that handle millions of packages across Amazon's fulfillment network.
We operate across the full ML and data lifecycle:
Work Selection Intelligence — Eligibility scoring and predictions (likelihood-to-empty, damage prediction, time-to-process, pick eligibility) that feed into work planners, identifying which totes and items reach each workcell.
Data & Observability — A common datalake collecting telemetry from every automated and manual workcell, fleet monitoring that detects performance degradation in real time and alerts Ops, and deep-dive tooling that enables engineers and scientists to investigate wor...
The Fleet Performance Optimization (FPO) organization builds the intelligence layer for Amazon Robotics manipulation workcells. We own the systems that select what work a robot should attempt, monitor how it performs, and close the loop by improving models with every induct. Our platforms serve Sparrow, Cardinal, FlexCell, and Robin workcells that handle millions of packages across Amazon's fulfillment network.
We operate across the full ML and data lifecycle:
Work Selection Intelligence — Eligibility scoring and predictions (likelihood-to-empty, damage prediction, time-to-process, pick eligibility) that feed into work planners, identifying which totes and items reach each workcell.
Data & Observability — A common datalake collecting telemetry from every automated and manual workcell, fleet monitoring that detects performance degradation in real time and alerts Ops, and deep-dive tooling that enables engineers and scientists to investigate wor...
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