Field Service Engineer
The Field Service Engineer provides technical support, troubleshooting, and training to internal and external customers. They are also responsible for managing demo plans and presenting clear, data-driven test reports.
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The Field Service Engineer provides technical support, troubleshooting, and training to internal and external customers. They are also responsible for managing demo plans and presenting clear, data-driven test reports.
Serve as the primary technical liaison for customers and partners while driving pre-sales enablement and post-sales support. Troubleshoot complex field issues and facilitate multi-partner solution development to expand the company's reach into new verticals.
You will work across all aspects of data, from engineering to building sophisticated visualizations and machine learning models. You will also analyze large volumes of transactional and operational data to provide actionable recommendations for executives.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms.
Review and evaluate annotation and audit work to ensure linguistic accuracy and consistency across Simplified and Traditional Chinese content. Identify errors, provide clear feedback, and support quality alignment activities within established project guidelines.
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The role involves serving as a frontline technical expert for sensitive identity and security incidents, leading deep investigations to resolve complex customer-impacting issues. You will collaborate across global teams to restore access, validate ownership, and mentor engineers to improve support ecosystem quality.
Build and maintain end-to-end product features across frontend, backend, and AI/LLM components. Collaborate with cross-functional teams to deliver practical solutions for internal tools, automation platforms, and AI-enabled workflows.
Collaborate with stakeholders to translate business requirements into robust services with high-quality code and testing. Proactively manage performance tuning, troubleshoot incidents, and mentor junior team members.
You will own end-to-end development of product features while integrating AI coding tools into your daily workflow to maximize efficiency. Additionally, you will act as a full stack seed within your team to champion AI-augmented development practices and improve cross-team collaboration.
The Supplier Quality Engineer ensures that all sourced components and assemblies meet quality standards and regulatory requirements. They are responsible for evaluating contract manufacturers, conducting supplier audits, and driving continuous improvement through data analysis and on-site support.
The Data Analytics Manager will research and analyze risk patterns to identify and mitigate fraud while developing strategic compliance frameworks. They will also lead the Compliance Data Analytics team to drive operational efficiency and provide actionable insights to senior management.
The Field Application Engineer will support customers with complex test and measurement challenges, specifically focusing on Photonic product test setups and high-speed I/O interfaces. They will work closely with sales and business development teams to maximize regional footprint while acting as a technical consultant for R&D, validation, and manufacturing test processes.
You will be responsible for reviewing, evaluating, and annotating AI-generated text, images, audio, and video content. Additionally, you will perform quality checks to ensure accuracy and provide feedback on annotation guidelines to improve AI model training.
You will contribute to the design and development of LLM-powered pipelines for agentic trading and automated workflow execution. Additionally, you will build and evaluate prompt engineering strategies and analyze agent performance in live trading scenarios.
Engage in live, natural video conversations in Vietnamese to provide high-quality data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Engage in live, natural video conversations in Vietnamese to provide high-quality data for AI model training. Participants discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Conduct research on modern cryptographic protocols including post-quantum cryptography and zero-knowledge proofs for blockchain applications. Collaborate with senior researchers to translate findings into practical, open-source software solutions.
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Facilitate technical interviews with software developers globally using the Karat platform. Evaluate candidate performance, coding style, and technical knowledge while providing objective feedback.
The Senior Solutions Architect will lead technical discovery, demos, and validations to demonstrate how GitLab's AI-powered DevSecOps platform meets customer business and technical needs. They will also partner with Account Executives to shape account strategies and serve as the voice of the customer to internal product and engineering teams.
The Data Analyst I provides extensive statistical and data programming support for patient-centered research projects. Responsibilities include managing research data, conducting statistical modeling, and collaborating with research teams on study reports and analysis plans.
Design, build, and maintain scalable backend services and APIs to support global KYC verification and compliance workflows. Lead the architecture of high-performance distributed systems and integrate AI/ML technologies to optimize risk assessment pipelines.
The Sales Applications Engineer provides technical support and guidance to customers to secure design wins for Altera's programmable logic devices. This role involves conducting product demonstrations, assisting with system-level design implementations, and acting as a technical liaison between customers and internal engineering teams.
Design and maintain comprehensive test strategies and automated frameworks for backend services and distributed systems. Collaborate with cross-functional teams to ensure high-quality software delivery while monitoring production systems and troubleshooting defects.
Design, develop, and maintain scalable, high-performance backend services using Java while taking ownership of system architecture. Collaborate with cross-functional teams to ensure system stability, security, and performance across the software development lifecycle.
The Software Engineer will extend in-house blockchain infrastructure and build scalable microservices for secure value transfer across protocols. They will also collaborate with cross-functional teams to design, test, and maintain reliable APIs and system procedures.
You will own end-to-end product analytics, including defining metrics, designing experiments, and building predictive models to drive product strategy. You will also translate complex data findings into actionable recommendations for product managers and executives.
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Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms.
The Senior iOS Engineer will lead key engineering and product decisions while actively shipping production code for the Speechify iOS app. They will also participate in product discussions to shape the roadmap and maintain the app's complex architecture.
Lead the research and development of computer vision algorithms for shopper detection, tracking, and analytics. Integrate multi-sensor systems and transition prototypes into production-ready code for global retail installations.
Collaborate with stakeholders to convert business requirements into high-quality services with meaningful tests and documentation. Proactively manage performance tuning, troubleshoot incidents, and mentor junior team members.
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