As a Senior Operational Research Scientist at Relay, you'll lead optimization for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Responsibilities
Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Model and optimize the decisions that define our last-mile delivery network and marketplace.
Develop our solvers and algorithms so they perform live, and at scale.
Partner with other Scientists to unite ML and recommender systems with Operational Research.
Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community.
As a Staff Applied Scientist at Relay, you'll lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Responsibilities
Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network.
Model and optimise the decisions that define our last-mile delivery network and marketplace.
Develop our solvers and algorithms so they perform live, and at scale.
Partner with other Scientists to unite ML and recommender systems with Operational Research.
Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community.
Build and evolve OrderYOYO’s data platform into a single source of truth for executive reporting, merchant insights, finance automation and AI, leading the move to a modern Microsoft Fabric lakehouse.
Compensation
A salary of up to £80,000 per year (or local equivalent).
Responsibilities
Design, build and operate production-grade data solutions in Microsoft Fabric across Lakehouse, Warehouse, notebooks, pipelines and related platform capabilities.
Build and run production pipelines in Fabric, Python and PySpark that are tested and maintainable, not just notebooks.
Design ingestion and transformation patterns that scale across multiple source systems, databases and business domains while controlling source impact, concurrency and platform cost.
Manage Fabric capacity and cost, and retire redundant legacy layers.
Lead migrations from legacy to modern platforms with metric parity, stakeholder sign-off, change control and safe decommissioning.
Build and evolve OrderYOYO’s data platform into a single source of truth for executive reporting, merchant insights, finance automation and AI, leading the move to a modern Microsoft Fabric lakehouse.
Compensation
salary of up to £80,000 per year (or local equivalent)
Responsibilities
Design, build and operate production-grade data solutions in Microsoft Fabric across Lakehouse, Warehouse, notebooks, pipelines and related platform capabilities.
Build and run production pipelines in Fabric, Python and PySpark that are tested and maintainable, not just notebooks.
Design ingestion and transformation patterns that scale across multiple source systems, databases and business domains while controlling source impact, concurrency and platform cost.
Manage Fabric capacity and cost, and retire redundant legacy layers.
Lead migrations from legacy to modern platforms with metric parity, stakeholder sign-off, change control and safe decommissioning.
Build and evaluate experimental systems combining devices, software and research-developed algorithms in a multidisciplinary research team.
Compensation
The hiring range for this position in the primary work location of Framingham, Massachusetts is: $149,000-$204,950. The hiring range for other Bose work locations may vary.
Responsibilities
Build and maintain prototype systems using connected devices, sensors, audio endpoints and compute platforms.
Develop software adapters, gateways and interfaces across IP networks, Bluetooth/BLE, USB, serial and other device protocols.
Integrate Research-developed and third-party ML models into inference runtimes, connecting sensor inputs, preprocessing, model execution and outputs to working applications.
Work with model developers to understand interfaces, dependencies and operating limits.
Diagnose integration problems and provide measured feedback.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics or a related technical discipline.
Lead the engineering team building the Network Control Center (NCC), an AI-native system that transforms Amazon’s global Customer Service network through continuous observability, autonomous incident response, and intelligent customer recovery.
Compensation
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Lead the design, architecture, and delivery of an AI-native observability and incident management service
Build and develop a high-performing engineering team by assisting in hiring and mentoring software development engineers
Architect real-time signal detection and observability systems that continuously monitor network health
Deliver autonomous incident response and recovery capabilities that replace manual, fragmented processes
Partner with Applied Science teams to develop and integrate ML models for anomaly detection, predictive alerting, and closed-loop learning workflows
Requirements
Bachelor's degree in computer science
Nice to have: full software development life cycle
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