Physics Expert - AI Trainer (France)
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
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Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train and evaluate frontier AI models. Use Python and specialized tools to build simulations and computational workflows that test deep physical reasoning.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design and implement full-stack features and scalable cloud-native systems using React, TypeScript, and Node.js on GCP. Own mission-critical surfaces end-to-end, translating customer feedback into shippable specs to improve legal workflows.
Lead the end-to-end technical onboarding and integration of Clearly AI into enterprise security workflows using tools like Jira and ServiceNow. Translate customer deployment friction into actionable product improvements by collaborating closely with engineering teams.
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Analyze large-scale user behavior datasets to identify patterns and drive product improvements. Design and evaluate A/B tests and build dashboards to measure the impact of product changes on business metrics.
The role involves architecting and maintaining scalable, responsive frontend applications while transforming UI/UX designs into pixel-perfect interfaces. You will collaborate with backend engineers to integrate APIs and ensure high performance and accessibility across all devices.
Embed with customers to design and build production integrations that incorporate GC AI into legal and business workflows. Identify repeatable deployment patterns to provide feedback to Product and Engineering for platform improvements.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
The role involves improving advanced AI systems by evaluating outputs, refining logic, and developing verifiable performance rubrics. You will also refactor code, optimize system behavior, and test for vulnerabilities to enhance AI-generated code quality.
Develop evaluation criteria and review system logs to improve the reliability and quality of AI-generated code. Refactor code, optimize system behavior, and test for vulnerabilities to enhance large language model performance.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
Develop evaluation criteria and review system logs to improve the reliability and quality of AI-generated code. Refactor code and test systems for vulnerabilities to enhance how AI models optimize software performance.
The role serves as a strategic link between Finance, IT, and engineering to drive financial accountability and cost efficiency across global cloud footprints. Key duties include analyzing multi-cloud consumption data, implementing governance policies, and executing cost-optimization initiatives.
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Build and manage an automated outbound engine to generate qualified meetings with financial advisors for the recruiting team. This includes optimizing the tooling stack, writing personalized outreach, and maintaining a consistent pipeline volume.
Design, develop, troubleshoot, and test software applications or operating systems based on provided specifications. Build enhancements within existing software architecture and suggest architectural improvements.
Design, develop, troubleshoot, and test software applications or operating systems based on provided specifications. Build enhancements within existing software architectures and suggest architectural improvements.
Design and develop AI-powered features to extract meaning from voice and messaging data at scale. Implement end-to-end ML pipelines and monitor production inference services to ensure operational health.
Design, develop, and maintain scalable web applications using React while collaborating with cross-functional teams. Responsibilities include writing maintainable code, performing unit testing, and mentoring junior developers in an Agile environment.
The role focuses on building and managing production-grade APIs, microservices, and scalable infrastructure for AI systems. Key duties include developing AI agents using Amazon Bedrock and implementing observability and CI/CD pipelines on AWS.
Design and implement robust back-end systems to process complex datasets for advanced analytics and real-time insights. Develop and maintain end-to-end applications using Python while optimizing code for performance and scalability.
The Software Engineer will design, develop, and maintain the company's software to meet identified business needs. This includes programming clean, efficient code and delivering functional solutions collaboratively.
Design and build AI-powered operational tools and workflow applications to support care delivery in rural clinics. Collaborate with clinical teams and product managers to translate operational challenges into scalable technical solutions.
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Design, build, and optimize scalable data processing systems and ETL/ELT pipelines in cloud and on-prem environments. Support the migration of legacy DWH systems and implement monitoring and alerting for data processes within an Agile framework.
Implement and configure Salesforce solutions and integration platforms like Magicxpi in collaboration with project teams and customers. Develop technical solution designs and serve as the primary technical point of contact for clients.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding domain-specific concepts.
Design and maintain scalable ETL/ELT pipelines and data storage solutions to process large volumes of diverse data. Develop Tableau dashboards and support AI/ML workflows by building data pipelines for model training and evaluation.
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