Copy of AI Model Training Expert: Face Motion Data Contributor
Record short videos of yourself performing simple head movements to trace on-screen paths. These videos are used to support computer vision research for an AI data platform.
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Record short videos of yourself performing simple head movements to trace on-screen paths. These videos are used to support computer vision research for an AI data platform.
Design physical objects for 3D printing using open-source CAD software while capturing workflow data to train AI models. Develop and execute Python validation scripts to support engineering design tasks.
You will architect and own the end-to-end reliability of the Command|Alert platform, ensuring high-fidelity alert generation and effective correlation of diverse telemetry data. Additionally, you will mentor engineering teams and drive strategic technical decisions to scale the alerting engine.
You will design and build scalable platform components and 'golden paths' to enable fast and safe development. Additionally, you will own complex infrastructure tasks such as networking and security while automating processes to minimize manual effort.
You will support business teams with ERP systems, data migration, and the automation of business processes using API and low-code tools. Additionally, you will test, document, and implement solutions while collaborating with the team to improve technical and business practices.
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Design and program modules for a high-performance system processing over 24 million queries per second with low latency. Optimize software for response time and resource consumption while ensuring system reliability and scalability.
Perform deep-dive penetration tests on web applications and APIs while collaborating with AI agents to provide manual verification and oversight. Develop new exploitation techniques and produce high-quality security reports with actionable remediation guidance.
You will be responsible for deploying and managing services on cloud or on-premise infrastructure while ensuring high availability and disaster recovery. Additionally, you will contribute to technical documentation, troubleshoot issues, and automate operational tasks using scripting.
The Senior Architect will design and maintain enterprise IT architecture, focusing on data governance, MDM, and AI-enabled data management platforms. They will lead technical design, mentor junior staff, and translate complex business requirements into scalable technical solutions.
Design, develop, and optimize low-latency, mission-critical trading systems while owning key components from architecture to production. Collaborate with quants and traders to improve trading performance, resilience, and operational excellence.
You will design, build, and optimize GPU-accelerated software for deep learning inference frameworks like SGLang and vLLM. Your work involves performance tuning of LLM and Generative AI models across various NVIDIA hardware architectures.
You will own the end-to-end development of AI-native systems, from data foundation design to production deployment. This involves building full-stack applications and orchestrating complex AI workflows to solve real-world client problems.
You will design and maintain internal tooling and CI/CD pipelines to simplify infrastructure and improve developer productivity. Additionally, you will operate AWS infrastructure and apply SRE principles to ensure system reliability, security, and observability.
You will be responsible for maintaining platform reliability, high availability, and disaster recovery while managing cloud and on-premises infrastructure. Additionally, you will automate provisioning, operate containerized workloads, and support CI/CD pipelines and cloud migration projects.
Lead and define the data science strategy for product development while serving as a strategic advisor to senior leadership. Drive the integration of emerging AI technologies and mentor team members to foster a culture of technical excellence.
The developer will design and maintain Python-based web scrapers and integrate them with OCR tools to extract structured data. They will also build and manage end-to-end data pipelines on AWS to ensure reliable data storage and quality.
You will architect and develop control software for physical layer components, including managing 1G to 400G connectivity and telemetry tools. Additionally, you will collaborate with hardware and optics teams to bring new components to market while providing technical leadership and support for customer networks.
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You will architect and develop control software for physical layer networking components, including 1G to 400G optics and forwarding engines. Additionally, you will collaborate with hardware teams to bring new components to market and provide technical leadership while mentoring junior engineers.
You will lead AI adoption and enablement programs for client engineering teams by running workshops and implementing AI-augmented workflows. Additionally, you will contribute to the Center of Excellence for Engineering Productivity by developing standards and best practices for AI integration.
You will maintain high-volume ingestion pipelines and develop tools and frameworks for the data platform. Additionally, you will support data scientists with production workloads and contribute to ML-platform and streaming initiatives.
You will own the internal corporate IT stack, including device management, identity systems, and SaaS governance for a global, remote team. You will also drive automation initiatives and ensure security and compliance standards are met across the organization.
You will serve as a senior technical leader responsible for architecting robust, scalable payment systems and driving technical strategy across the engineering organization. Additionally, you will mentor engineers, foster a culture of technical excellence, and lead the delivery of complex, cross-team projects.
You will define the reliability strategy and standards for Yuno's AI agent infrastructure, driving architectural decisions and implementing event-driven communication. Additionally, you will lead incident management, mentor engineering teams, and build robust observability and resilience testing frameworks.
You will take full ownership of backend services, designing and maintaining scalable distributed systems to support millions of users. You will also collaborate with cross-functional teams to ship reliable features while mentoring junior engineers and participating in on-call rotations.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
You will design and implement application UIs, server logic, and web service integrations using no-code tools to solve complex business problems. Additionally, you will conduct market research, gather customer feedback, and collaborate with QA teams to ensure high-quality, scalable solutions.
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Design, develop, and maintain advanced geospatial applications using ArcGIS Experience Builder and the broader ESRI ecosystem. Support clients as a geospatial consultant while managing spatial data processing and cloud-based ETL pipelines.
The Automation QA Engineer will build and execute automated Python test suites to validate RAG pipeline performance and retrieval accuracy. They will also integrate these quality scorecards into Azure DevOps CI/CD pipelines to ensure data integrity and prevent regression.
You will contribute to the full development cycle of the internal ERP product, including design, implementation, and optimization of new modules. Additionally, you will collaborate with senior developers and business stakeholders to integrate systems and improve existing architecture.
Design and implement cloud and platform solutions using AWS/Azure and Terraform while integrating Generative AI technologies. Collaborate with architects and business stakeholders to define integration patterns and facilitate architectural alignment across multidisciplinary teams.
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