Find your next AI-scored role.

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.

Infrastructure Software Engineer at Scale AI building multi-cloud systems for the Scale Generative AI Platform. Focus on distributed systems, cloud integrations, and LLM infrastructure serving enterprise customers in regulated industries.

GenAI Strategic Projects Lead at Scale AI building data pipelines and operational processes for large language model training and evaluation in the public sector. Owns high-impact projects spanning data production, quality assurance, and customer engagement.

Forward Deployed Product Manager at Scale AI, embedded with enterprise customers to drive AI/ML product deployments to production. Owns product outcomes for high-impact accounts, translates customer workflows into platform direction, and bridges customer engineering and Scale platform teams.

Forward Deployed Engineer at Scale AI building data infrastructure for generative AI models. Work with leading AI labs and government agencies to design, deploy, and iterate on high-quality data solutions across the full stack.

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.

Field Engineering Manager at Scale AI leading a team of 6-8 engineers on federal AI projects. Role splits between hands-on technical delivery (50%) and team management (50%), working with government agencies on custom GenAI workflows and data integrations.

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.

Engineering Manager at Scale AI leading the AgentOps team, building an agent development platform for enterprise customers. Manage engineers, drive technical delivery, and ship features across the full product lifecycle.

Engagement Manager at Scale AI leading customer relationships and delivering agentic AI solutions for U.S. public sector defense clients. Requires TS/SCI clearance, 3+ years leading teams, and technical program management experience.

Engagement Manager at Scale AI leading customer relationships and AI/ML delivery for U.S. public sector defense clients. Requires technical program management experience, active TS/SCI clearance, and ability to translate AI/ML technologies into government solutions.

Engagement Manager at Scale AI leading delivery of agentic workflows for U.S. government national security customers. Manages customer relationships, scopes AI/ML use cases, and oversees implementation of enterprise-grade generative AI solutions.

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.

Director of Business Systems at Scale AI leading enterprise application strategy, AI agent deployment, and cross-functional partnerships. Responsible for building an AI-integrated backbone across Finance, GTM, Operations, and People systems to eliminate fragmentation and enable faster execution.

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.

AI Strategy Consultant at Scale AI conducting research experiments, building frontier LLM datasets, and improving data quality. Remote, part-time contract role focused on advancing AI innovations through technical analysis and experimentation.

AI Product Manager at Scale AI owning the Agent & Reinforcement Learning Environments data vertical. Responsible for product roadmap, data pipelines, and researcher-facing tools for training intelligent agents.

Enterprise Applications AI Architect at Gusto designing AI agents and Model Context Protocols to automate internal workflows across ERP, finance, and HR systems. Combines hands-on AI development with enterprise systems integration and governance.

Staff Software Engineer at Gusto building AI developer tools and internal coding assistants. Focus on architecting LLM-powered workflows, agentic agents, and developer productivity infrastructure to accelerate engineering velocity.