Lead the technology strategy and roadmap for designing, building, and operating bespoke AI solutions for Thomson Reuters’ legal technology platform, serving top law firms and corporate legal departments worldwide.
Locations (6)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
Irvine, California, United States
McLean, Virginia, United States
Washington, District of Columbia, United States
Compensation
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Define and drive the long‑term technical vision and strategy for FDE
Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns
Identify emerging capabilities and communicate opportunities and trade‑offs to senior leadership
Contribute to cross‑functional engineering strategy, standards, and patents
Lead complex, high‑risk AI initiatives from concept through production
Requirements
Nice to have: regulated industry experience (legal, fintech, healthcare)
Lead Product Manager for AI Platform at Global Payments, responsible for strategy, roadmap, and adoption of a shared AI foundation across product and engineering teams.
Technischer Koordinator unterstützt das Team bei der Organisation des Testlabors, Vorbereitung und Durchführung von Testaktivitäten und Koordination von Kalibrierungen, Wartungen und Reparaturen.
Compensation
Freiburg 39Std: €3.060 - €4.998 EUR Monthly
Responsibilities
Organisation und Verwaltung von Testequipment, Messmitteln, Testhardware und Testmaterialien
Vorbereitung und Nachbereitung von Testsystemen und Testaufbauten sowie Bereitstellung der erforderlichen Hardware
Unterstützung bei standardisierten Testaktivitäten, z. B. mechanischen Tests, Impact- und Drop-Tests, Reliability-Tests sowie automatisierten Testabläufen
Technische Dokumentation von Testaufbauten, Seriennummern, Prüfmitteln und Testergebnissen sowie strukturierte Archivierung relevanter Testdaten
Koordination von Kalibrierungen, Wartungen und Reparaturen von Test- und Laborequipment
Requirements
Abgeschlossene Berufsausbildung
Nice to have: Erfahrung mit Test-, Labor- oder Messequipment
Nice to have: Grundkenntnisse in technischen Testmethoden
Nice to have: Erfahrung mit Inventar- oder Verwaltungssystemen
Rivian is seeking an innovative engineer who combines expertise in AI/ML with a passion for quality and manufacturing excellence in the Body Assembly area. This role is crucial in driving our digital transformation initiatives through the development and implementation of AI-powered solutions.
Compensation
The salary range for this role is $98,500-$123,100 for Illinois based applicants.
Responsibilities
Apply fundamental process engineering principles and advanced statistical methods, including ML/AI algorithms, to analyze manufacturing data (e.g., End of line test data, sensor data, press data, LVDT data, historical trends, operational logs).
Develop and implement predictive models for key performance indicators (KPIs) such as yield, throughput and equipment downtime.
Collaborate with IT and operations teams to establish data pipelines, ensuring data quality, accessibility, and integrity for ML model training and deployment.
Utilize data collected by Rivian’s MES database system for model training.
Design, train, validate, and deploy robust ML models (e.g., classification, regression, time-series forecasting) for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
Design, build, optimize, and maintain scalable data pipelines and analytical datasets supporting analytics, machine learning, and AI use cases.
Compensation
The anticipated compensation for this position is USD $123,650.00/Yr. - USD $203,150.00/Yr. depending on experience and qualifications.
Responsibilities
Design, build, optimize, and maintain scalable data pipelines and analytical datasets supporting analytics, machine learning, and AI use cases.
Build reliable data ingestion, transformation, and feature pipelines across large-scale product telemetry, customer, behavioral, feedback, and operational datasets.
Establish strong practices around data quality, observability, reliability, performance, and governance to ensure datasets are trusted and ready for analysis and modeling.
Use Python, SQL, Spark, and modern cloud data technologies to process, transform, analyze, and derive insights from large-scale datasets.
Analyze product telemetry, usage, behavioral, customer feedback, support, and operational datasets to identify trends, patterns, anomalies, friction points, and opportunities.
Requirements
Bachelor's or higher in Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, or a related discipline
A Data/AI Developer focused on building and validating ML models for supply chain forecasting, developing LLM workflows, and managing MLOps on Databricks.
Compensation
The suggested pay for this position ranges from $95,546 to $105,875. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and location. Also, certain positions are eligible for additional forms of compensation, such as bonuses.
Responsibilities
Build and validate ML models for inventory and demand forecasting, and document model validation.
Automate identification and validation of product substitutions during supply disruptions.
Build LLM and agentic workflows inside a governed, auditable AI operating model.
Run MLOps on Databricks (MLflow, model serving, monitoring).
Deliver dashboards and analytics for supply chain stakeholders.
Requirements
Bachelor's degree in computer science, data science, statistics or a related field
Develop and deliver advanced digital solutions that support the design, construction, commissioning and operation of complex nuclear facilities, working at the intersection of engineering, software development, data analytics and advanced modeling.
Compensation
Expected compensation range is between $79,000-$132,000 annually depending on skills, experience, and geographical location.
Responsibilities
Design, develop and implement software applications and digital solutions to address complex engineering, project delivery and operational challenges.
Develop reusable digital tools and applications that improve efficiency, reduce risk and support informed decision-making.
Develop software using programming languages such as Python, C#, Java and SQL.
Design and implement data-driven applications that integrate information from multiple engineering, project and operational systems.
Develop prototypes and proof-of-concept solutions to demonstrate the potential value of new digital technologies.
Sr. Process Engineer, R1 Body AI/MLNewRivian Automotive · Normal, US
Sr Data EngineerNewMcAfee · Frisco, US
Data/AI DeveloperNewTista Science and Technology Corporation · Remote, US