As an AI/ML Data Contributor, you will engage in data labeling, content evaluation, and user testing to enhance machine learning models across various projects.
Remote AI Engineer Jobs
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The Chief Engineer will lead the engine room team, ensuring the smooth operation of engines and machinery while maintaining safety and effective communication.
As a 2nd Engineer, you will be responsible for the operation and maintenance of the engine room and machinery on board the vessel, ensuring safety and efficiency.
Forward Deployed AI Accelerator, Marketing
Embed with marketing teams to identify high-impact workflow changes, build and scale AI tools and agents, and coach marketers toward independent, AI-first ways of working.
Design and optimize generative AI prompts to drive intelligent solutions aligned with business objectives, playing a key role in AI capabilities implementation.
Design and build reliable AI agents that automate investigative work and support analyst decisions, while scaling LLM infrastructure and ensuring agent behavior is safe, observable, and auditable.
Staff Machine Learning Engineer, Consumer
Drive the next generation of Reddit's machine learning ecosystem by leading high-impact initiatives across recommendations, search, and foundational AI systems.
Deliver production-ready AI solutions by embedding with client teams, translating business needs into technical designs, building and deploying systems, and advising clients on architecture and best practices.
Design rigorous AI benchmarks and dataset standards, build evaluation infrastructure with R&D, and turn reproducible results into clear guidance for model development and customer-facing proof points.
As a Master Electrician, you will lead the installation, maintenance, and troubleshooting of electrical systems, ensuring safety and compliance while mentoring other electricians.
Staff Machine Learning Systems Engineer
Lead the development of a large-scale machine learning platform at Reddit, focusing on MLOps, model lifecycle management, and optimizing performance in a distributed environment.
Senior Machine Learning Systems Engineer
Lead the development of a large-scale machine learning platform at Reddit, focusing on MLOps, performance tuning, and optimizing data processing.
Build Python backend services, cloud-native infrastructure, and automation frameworks that support large-scale production environments while improving platform reliability, scalability, and operational efficiency.
Leads quality engineering for complex SaaS systems, shaping test strategy, validating APIs, integrations, data integrity, and security-sensitive workflows, and mentoring engineers to improve reliability and reduce production defects.
Senior Machine Learning Engineer
Design, own, and scale predictive systems as a Senior Machine Learning Engineer, taking end-to-end responsibility for high-impact ML initiatives in a programmatic advertising platform.
Azure Solutions Architect (Microsoft Fabric)_Avyka
Architecture & Design: Architect end-to-end data solutions using Microsoft Fabric workloads, including OneLake, Lakehouse, and Warehouse.
As an AI Data Collector, you will capture high-quality images in various real-world environments, following specific project guidelines to support the development of AI technologies.
AI Inference Engineer QVAC (100% remote Worldwide)
Own and optimize the C++ inference runtime behind QVAC’s local AI stack, improving model startup, memory use, throughput, latency, and stability across edge-device hardware.
Own end-to-end machine learning systems for inventory forecasting and decision-making, from data pipelines and model development through deployment, monitoring, and iteration, with direct impact on planning, pricing, and demand decisions.
Own end-to-end machine learning systems for inventory forecasting and decision-making, from data pipelines and model development through deployment, monitoring, and iteration, with direct impact on planning and pricing.
Design, develop, and deploy production AI/ML solutions, owning the end-to-end lifecycle from data analysis and model training to scalable pipelines, MLOps automation, and production monitoring.
Leads architecture and development of agentic AI systems for Maia, building tools and integrations, evaluating evolving models, and mentoring engineers while shaping technical strategy and product delivery.
Architect and build reliable agentic AI systems that automate investigative work and support analyst decisions, scaling LLM infrastructure while ensuring agent behavior is safe, observable, and auditable.
As a Senior MLOps Engineer, you'll design and operate ML platforms for healthcare workflows, ensuring secure and compliant systems for model development and deployment.
