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Technical Staff, AI Architect - Agentic AI/GenAI Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic…
Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
Staff Software Engineer on Google Cloud's AI/ML team, leading design and optimization of large-scale ML infrastructure, model deployment, and data processing strategies for Vertex AI and related platforms.
Build and operate the AI agent infrastructure that automates engineering tasks at Nuro, including closed-loop evaluation, agent platform, and autoresearch systems for autonomous driving.
Build and rigorously evaluate AI agent systems that automate engineering workflows at Nuro, using frontier transformer models and proprietary driving data to drive measurable productivity gains.
Build the evaluation/judgement layer for AI agent trajectories at Moveworks/ServiceNow — designing LLM judges, rubrics, calibration loops, and process reward models so that evaluation scores can be used as training signals. Core tech: LLMs, Python, fine-tuning, reward modeling.
Software Engineer on the ML Developer Experience team building developer tooling, SDKs, CLIs, APIs, and platform services for the Anyscale/Ray distributed computing platform, spanning cloud infrastructure to the Ray runtime.
Builds and deploys AI/ML models and applications to automate decisions and insights for a reverse-mortgage fintech, using Python, TensorFlow/PyTorch, and cloud MLOps.
Build and deploy AI systems for public safety, including computer vision, speech recognition, NLP, and generative AI, across cloud and edge devices.
Builds mid-training strategies for large multimodal AI models to improve reasoning, planning, and tool-use capabilities at scale.
Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Build post-training strategies (RL-based) to train coding and agentic AI models, including reward modeling, simulation environments, and evaluation frameworks.
Design and build RL environments, reward functions, and task curricula to train and evaluate proactive personal AI agents, scaling infrastructure for large-scale training runs at an AI/hardware company.
Lead AI/ML Engineer defining architecture and strategy for enterprise AI/ML pipelines, mentoring teams, and integrating LLMs and Generative AI into production using Python, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps tooling.
Leads technical projects in Google Search’s generative AI and personalization quality team, designing large-scale AI systems to improve search relevance and user context for billions of users.
Build and evolve an autonomous, LLM-driven web application penetration testing agent using Python and AWS Bedrock, focusing on agent orchestration, tool design, and evaluation infrastructure for a cybersecurity company.
About The Zebra meets customers right where their search for car and home insurance begins: online. We provide easy-to-use tools and services, plus friendly, licensed agents who offer advice and guidance at any point…
Lead the AI-powered robotics product roadmap for Apollo, integrating and fine-tuning models while balancing capability, safety, and commercialization for industrial and future applications.
Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native…
WHAT IS THE OPPORTUNITY? RBC's Data Security Automation and Engineering team is responsible for identification and detection of data loss incidents that might pose a risk to the organization. The Senior Manager…
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