…We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and…

…Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems. Build…

…Define and drive the technical roadmap for search ML capabilities, aligning short-term execution with long-term strategic goals. Partner with engineers, researchers, product…

…a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack…

…Coach and mentor AI/ML team members, setting a high bar for engineering rigor and research depth. Required qualifications, capabilities, and skills PhD in…

…or data-centric applications. • Proficient in Java, Python, or similar object-oriented languages for building robust backend systems. • Strong software engineering fundamentals, including expertise…

…production software systems Applying prompt engineering, structured outputs, model evaluation, and production observability to GenAI use cases Partnering with research, product, security, and infrastructure…

…extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale…

…You will work alongside machine learning scientists, algorithm engineers, hardware teams, designers, and human factors researchers to build the AI-native platforms and data…

…latency, safety, reliability, and cost. - Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the…

…AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our…

…Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality…

…team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities Work closely with product managers, research teams, and…

…As a Senior Software Engineer, Agentic AI Systems, you will design and develop production-scale AI systems that combine large language models, retrieval, memory…

…applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics…

…We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of…

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design…

…Demonstrated technical leadership, problem-solving ability, and passion for mentoring engineers. Preferred Qualifications Experience building AI-powered or data-intensive applications. Familiarity with healthcare…

…we are hiring at either Applied Scientist or Machine Learning Engineer, at TC3 (Senior) or TC4 (Staff / Tech Lead), calibrated to your background. We…

…Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and…

…Strong understanding of how search engines crawl, render, index, and rank content. Working knowledge of AEO, GEO, LLM search, and how AI assistants retrieve…

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data…

…native development practices, including prompt engineering, LLM integration, agentic architectures, and retrieval-augmented generation. Comfortable evaluating and applying AI tools to accelerate development workflows…

…Strong Python and ML frameworks (PyTorch, TensorFlow) LLMs, embeddings, vector search, RAG pipelines, and fine-tuning Data engineering: Spark, Kafka, Flink, OCI Streaming/Data…

…embeddings, semantic search, and AI-powered workflow automation - Ability to translate ambiguous problems into practical, scalable solutions and partner effectively with engineers and scientists…