Research Engineer

• Lead the global community to find, develop, and implement new ideas for Cockpit, Trim, and Displays.
• Ensure creative concepts transition from the lab into production vehicles by coordinating workshops, tracking technologies, and working with cross-functional teams.
• Prioritize a Keep It Simple approach to ensure all design solutions are efficient, practical, and maximize value without over-complication.

Innovation Engineer, Cockpit & Trim

• Research and design custom 3DEXPERIENCE (3DX)/Catia tools using C++ and Python.
• Architect linkage programs to automate data flow between simulation solvers (Hypermesh, LS-DYNA, AutoForm) and CAD environments.
• Ensure developed tools and data pipelines are robust and computationally efficient, minimizing latency and maximizing throughput for large-scale simulation data.
• Lead statistical sensitivity studies and Design of Experiments (DOE) to optimize manufacturing robustness.
• Validate the accuracy and performance of 3DX implementations.
• Partner with Ford subject matter experts in forming, joining, and surface science to develop a unified digital twin for stamping, structural casting, and coating workflows.
• Streamline simulation run-times and automate data processing to enable 100% in-house feasibility validation and rapid design iterations.

• Work with an interdisciplinary team developing algorithms for exploitation of sensor data in geospatial contexts.
• Formation and analysis of imagery products, development of advanced signal processing tools for image understanding and imagery exploitation, and the integration of data from multiple sources to enhance understanding.
• Programming, algorithm development, design and execution of Electro-Optic and/or radar computational models & simulations, and analysis of results.
• Participate in laboratory work, collecting and analyzing sensor data.
• Additional tasks include defining software and system interfaces, system integration and testing, and field support to experiments and demonstrations.

Research Engineer, Remote Sensing

• Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI-powered legal products.
• Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
• Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
• Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
• Support Cross-Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self-service tools for metric implementation.
• Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).

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Innovation Engineer, Cockpit & Trim

Research Engineer

Research Engineer, Remote Sensing

Research Engineer – Data & Analytics, ML-Enabled Systems