…with rule engines, signal gating, and large-scale monitoring systems - Experience applying AI tools and agents to accelerate investigations and research workflows - Ability to…

…Productionize ML models and data products — partner with engineering to deploy seller scores, contact quality indices, and recommendation signals. Explore LLM/GenAI applications: automated…

…following research areas: machine learning, deep learning, natural language processing (NLP), information retrieval, recommender systems, computer vision, large language models (LLMs), generative AI, causal…

…partnering closely with product and engineering leaders to translate a long-term science vision into concrete research and engineering roadmaps. Working backwards from the…

…Research Hardware internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service . We…

…We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets. Engineers…

…This role sits at the intersection of frontier AI research and large-scale production engineering, combining deep science, system-wide impact, and business-critical…

…You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You…

…Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI. PhD in Computer Science, Machine Learning, Natural…

…Exposure to AI/ML tools and fluency using AI in your own design workflow. Experience contributing to a design system or shared interaction patterns…

…You will work cross-functionally with Software Engineering, Product, Research and Responsible AI teams at Apple to ensure that our AI experiences are reliable…

…ML), Agent development, MCP. Hands-on experience implementing AI solutions to solve real-world developer productivity problems. Research emerging AI technologies and engineering best…

…agents: AI assistants, crawlers, and scrapers. We build the systems that bring clarity to this traffic, combining in-house ML and vendor signals to…

…You don't need an ML background — but you should find it interesting to turn fuzzy agent behavior into a signal engineers are willing…

…8+ years of experience in applied AI, AI research, and backend engineering. A graduate degree (MS or PhD) in a relevant quantitative field such…

…and Engineering teams and explain complex AI concepts to non-technical stakeholders. *We operate in a flexible hybrid work model. What makes Research at…

…Exa is building the search engine for AI — a web-scale retrieval and research API that gives LLMs and AI agents fast, cited access…

…of choice for elite domain experts, strengthening hiring pipelines in AI/ML, data engineering, security, and infrastructure; creating retention mechanisms anchored in technical growth…

…large language models or other AI/ML systems Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data…

…techniques from AI, ML, and statistics. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field…

…Shape the future of the signals domain at Pinterest through continuous research, learning, and mentorship of program managers and technical leads. AI-first execution…

…In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at…

…You will work at the intersection of identity, detection engineering, and AI, partnering with threat researchers, data scientists, and engineers, and evangelizing our approach…

…software engineers to take your models from experimentation through production deployment at scale. If you're excited about applying advanced ML research to a…

…Lead model development lifecycle, cross-functional initiatives, and research efforts focused on AI and ML innovation in the trust and safety domain, driving the…