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Builds and scales core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for large-scale AI models.
Build and scale an AI-powered clinical reasoning system that handles millions of patient consultations, improving safety and accuracy through agentic architectures, retrieval, and continuous learning.
Lead the design and development of core data storage, streaming, caching, and indexing platforms to support AI systems and RLHF workflows.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for cutting-edge LLMs.
Build and fine-tune LLMs and agentic AI systems that power Lyft’s safety and customer-care workflows, using post-training, agent frameworks, and evaluation pipelines to handle millions of interactions.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Evaluate and improve AI language models by analyzing responses for accuracy, reasoning, and clarity in Odia and English.
Leads the architecture and development of an AI system that dynamically assembles personalized scenarios from modular AI components, using Python, LangChain, and RAG pipelines.
Red-team conversational AI models to find jailbreaks, prompt injections, and misuse cases, then document findings for customers.
About the Role Sanas is looking for a Member of Technical Staff to lead the post-training and deployment of large language models across a new generation of self-hosted, sovereign-deployed products. This is a rare…
AI Applications Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training…
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
Builds and deploys LLM agents and RAG systems for a freight platform, including AI assistants for drivers and shippers, dispute resolution, and autonomous decision-making tools.
Build and own TikTok’s search engine using ML, NLP, and multimodal systems to power AI-driven conversational search and personalized results.
Research and develop multimodal large language models (VLMs) to improve video and code understanding for TikTok’s content and R&D workflows.
Build and deploy ML systems for TikTok’s monetization, focusing on AI labeling, multimodal content understanding, and agentic workflows to improve ads and live-streaming revenue.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
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