Find your next AI-scored role.

Senior Forward Deployed AI Engineer at Scale AI building production AI agents and integrations for enterprise customers. Combines hands-on engineering with customer-facing technical problem-solving across data pipelines, LLM systems, and multi-agent architectures.

Research Scientist at Scale AI focused on AI controls and monitoring. Design methods and systems to ensure advanced AI models remain aligned with intended goals, including monitoring techniques, control mechanisms, and red-team simulations.

Research Scientist at Scale AI focused on agent robustness, safety, and AI risk evaluation. Work on benchmarking AI agent capabilities, designing evaluation harnesses, and identifying failure modes in agentic systems.

Principal Architect at Scale AI leading 50+ engineers on agentic AI products. Responsible for technical strategy, LLM/agent systems design, and executive partnerships in high-stakes government and enterprise contexts.

Manager, Machine Learning Research Scientist at Scale AI leading a research team on generative AI, post-training, evaluation, and agent/RL systems. Requires 5+ years of ML research experience and track record of publications in top-tier venues.

Machine Learning Systems Research Engineer at Scale AI building post-training algorithms and agent RL training platforms. Focus on optimizing training/inference frameworks, RLHF/RLVR methods, and multi-agent rollouts for enterprise AI applications.

Machine Learning Research Engineer at Scale AI focused on robotics and Physical AI. Develop ML pipelines for training vision-language-action models, conduct applied research on data collection and policy fine-tuning, and build evaluation methods for robotic systems.

Machine Learning Research Engineer at Scale AI building multi-agent systems for agentic LLM validation and reliability. Focus on applied ML engineering, data infrastructure, and shipping production fixes for frontier agent research.

Machine Learning Research Engineer at Scale AI building state-of-the-art agents through post-training and RL algorithms. Focus on training models, researching cutting-edge algorithms, and deploying agents to enterprise customers.

Machine Learning Research Engineer at Scale AI building synthetic data pipelines and agents for enterprise GenAI post-training. Focus on data flywheels, RL environments, and agent-building algorithms to improve model performance.

Forward Deployed AI Engineering Manager at Scale AI leading enterprise customer teams on production AI agent deployment, data integration, and prompt optimization. Combines technical leadership with hands-on work on LLM-based systems, RAG pipelines, and multi-agent architectures.

Evals Engineer at Scale AI building LLM-as-a-Judge frameworks and evaluation systems for enterprise GenAI applications. Focus on designing automated evaluation pipelines, human-curated datasets, and research into novel assessment methodologies for AI agents.

Distinguished Engineer at Scale AI leading technical strategy for enterprise AI/ML infrastructure and the Scale GenerativeAI Platform. Reports to SVP of Engineering; mentors senior engineers and drives cross-organizational technical vision.

Staff/Senior Staff ML Engineer and Tech Lead at Scale AI building deep research agents for enterprise. Responsible for technical strategy, architecture, and team leadership across agent development, retrieval systems, data analysis, and multimodal AI capabilities.

Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's platform, from cybersecurity to genomics applications.

Enterprise Applications AI Architect at Gusto designing AI agents and Model Context Protocols to automate and enhance internal enterprise workflows. Bridges business requirements with AI frameworks across systems like NetSuite, Zuora, and Jira.

Staff Software Engineer at Gusto building AI developer tools and internal coding assistants. Focus on architecting LLM-powered workflows, automating developer tasks, and embedding intelligence into the development lifecycle.

Software Engineer at Warp building an agentic development environment that integrates agents (Claude Code, Gemini CLI) into the terminal and IDE. Work across the full stack on features spanning user experience, performance, and reliability for 700k+ active developers.

AI Transformation Specialist at Decagon, a conversational AI platform company. Build internal AI automation agents, design account mapping solutions, and drive AI adoption across the organization. Role spans strategy, operations, and technical implementation.

Forward Deployed Research Engineer at Poolside building agentic systems for enterprise customers. Combines software engineering, applied AI research, and product work to deploy high-reliability AI systems in the field and feed signals back to core R&D.

Principal Product Designer at Gusto leading AI design across the platform, including the Gus conversational assistant and AI-powered workflows. Role is strategic and hands-on, shipping customer-facing AI capabilities while mentoring designers and establishing AI interaction patterns.

Senior ML Research Scientist at Nuro developing vision-language-action models for autonomous driving. Focus on multimodal model development, large-scale training, fine-tuning, and onboard optimization for safe decision-making in complex driving scenarios.

Senior/Staff ML Engineer at Airbnb building generative AI systems for customer support. Focus on LLM fine-tuning, RAG, evaluation, and agentic AI products serving millions of guests and hosts.

Machine Learning Engineer at Airbnb building AI-powered customer support systems. Focus on LLM fine-tuning, RAG, evaluation, and agentic AI products for the Community Support Products team.

Director of Machine Learning leading Reddit's Safety and Moderation team. Responsible for building ML systems to detect harmful content, fine-tuning LLMs, and leading applied scientists and engineers across trust and safety initiatives.