Find your next AI-scored role.

Staff Machine Learning Research Engineer at Scale AI building post-training algorithms and RL platforms for enterprise agents. Focus on training state-of-the-art models, researching cutting-edge algorithms, and enabling multi-agent systems to learn from process and outcome rewards.

Staff ML Research Scientist at Scale AI focused on LLM evaluation methodologies and benchmarks. Leads research on novel evaluation techniques, designs benchmarks for frontier models, and mentors research teams. Publishes at top-tier conferences and collaborates with leading AI labs.

Staff Infrastructure Engineer at Scale AI building multi-cloud infrastructure for enterprise AI agents. Focus on Kubernetes, CI/CD, observability, and compliance across AWS, GCP, and Azure.

Software engineer at Scale AI building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. Work across Python, Node.js, C++, and React to support autonomous vehicles and embodied AI systems.

Software Engineer at Scale AI building inference and infrastructure for frontier AI models in public sector. Focus on secure, scalable backend systems, cloud-native deployment, and federal compliance in restricted environments.

Software engineer at Scale AI building the Scale GP enterprise generative AI platform. Focus on backend, frontend, and LLM integration across knowledge retrieval, inference, and evaluation APIs.

Senior Full-Stack Engineer at Scale AI building Scale GP, an enterprise generative AI platform. Work across React/TypeScript frontends and Python backends, integrating LLMs and vector databases to power intelligent product experiences.

Senior/Staff ML Engineer at Scale AI building production-ready general agents for enterprise use cases. Focus on end-to-end agent system design, evaluation frameworks, and deployment across customers.

Senior Software Engineer at Scale AI building agentic data products. Full-stack role integrating LLMs, vector databases, and agent frameworks into enterprise AI workflows. Focus on 0→1 product development with React, Python, and distributed systems.

Senior AI Infrastructure Engineer at Scale AI building fault-tolerant, high-performance systems for serving large language models at scale. Focus on backend platform design, LLM routing, and production optimization across research and enterprise use cases.

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.

Robotics Engineer at Scale AI building hardware and software systems for collecting data from robotic embodiments. Focus on mechanical design, sensor integration, computer vision pipelines, and large-scale data collection operations.

Research Scientist at Scale AI designing evaluation harnesses and datasets to measure risks posed by frontier AI systems. Focus on agent robustness, AI control protocols, and policy-informed risk assessments for governments and industry.

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.

Product Manager at Scale AI building data infrastructure and marketplace systems for frontier AI model training. Role spans demand-side customer platforms and supply-side contributor ecosystems, with focus on data quality, task design, and payment 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.

ML Systems Engineer at Scale AI building platforms for serving foundation models in robotics and autonomous vehicles. Focus on scalable inference infrastructure, GPU optimization, and model serving at production scale.

ML Research Engineer at Scale AI building RLXF, an internal distributed framework for large language model training and inference. Focus on system optimization, multi-node training, and enabling ML teams' research and development.

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.