Find your next AI-scored role.

Product Manager for Scale AI's Public Sector Data Engine, leading ML Ops infrastructure for government computer vision and generative AI systems. Bridges data labeling and full-stack AI partnerships, architecting model development and evaluation tools.

ML Systems Engineer at Scale AI building fault-tolerant, high-performance serving platforms for robotics and foundation models. Focus on GPU optimization, Kubernetes orchestration, and bridging research-to-production for autonomous vehicles and robotics applications.

Lead Technical Program Manager for Trust & Safety at Scale AI, focused on fraud analytics and detection. Role involves analyzing behavioral data, building detection logic, and translating insights into operational programs using SQL and AI coding tools.

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 signal, and bridges customer engineering with Scale's core teams.

Director of Technology & Systems at Scale AI leading enterprise application strategy and AI agent deployment across Finance, GTM, Operations, and People functions. Will build internal AI-powered workflows to automate manual processes and connect disparate systems into a cohesive operational backbone.

Staff Software Engineer at Scale AI building foundational data platforms (storage, streaming, caching, indexing) that power RLHF and model evaluation systems. Lead architecture, design, and mentorship on distributed data systems serving the AI industry.

Solutions Engineer at Scale AI building data platforms for robotics and physical AI. Partner with customers on pre-sales technical requirements, demos, and pilots for multi-million dollar contracts. Requires robotics/engineering background and 3+ years programming experience.

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 for production-grade AI systems.

Principal Solutions Engineer at Scale AI, a data and AI infrastructure company. Leads technical strategy for enterprise AI adoption, advises C-level stakeholders, and shapes product direction through customer insights.

Tech Lead Manager for Scale AI's LLM post-training platform team. Builds distributed training and inference frameworks, optimizes systems for large-scale model training, and collaborates with ML researchers on next-generation LLM development.

Staff full-stack engineer at Scale AI building frontend and backend for enterprise Gen AI applications and the Scale Generative AI Platform. Focus on Next.js, React, TypeScript, and integrating AI features for Fortune 500 customers.

Staff Product Manager at Scale AI leading agentic AI platform development for US government and national security applications. Responsible for end-to-end product lifecycle, cross-functional team leadership, and ensuring secure deployment in government environments.

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 like RLHF/RLVR, and enabling multi-agent systems.

Staff Infrastructure Engineer at Scale AI building multi-cloud infrastructure for enterprise agentic workflows. Focus on Kubernetes, CI/CD, observability, and compliance for AI orchestration platforms serving regulated industries.

Solutions Engineer at Scale AI delivering customized demos and pilots to enterprise customers. Scope technical requirements, design solutions, and partner with sales and engineering teams to secure technical wins in GenAI/LLM applications.

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 enterprise-grade generative AI platform APIs. Focus on backend, frontend, and LLM integration across knowledge retrieval, inference, and evaluation systems.

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 Software Engineer at Scale AI building systems for the GenAI Data Engine. Full-stack work on contributor platforms, data pipelines, and infrastructure handling millions of tasks weekly using TypeScript, React, Node.js, and MongoDB.

Senior Forward Deployed Data Scientist/Engineer at Scale AI building data products and evaluation systems for enterprise customers. Combines statistical modeling, product development, and AI deployment with hands-on Python/SQL work and AI-assisted development workflows.

Senior AI Infrastructure Engineer at Scale AI building fault-tolerant, high-performance systems for serving LLMs at scale. Focus on backend platform design, model serving optimization, and production reliability.

Principal Architect at Scale AI leading 80+ engineers on agentic AI products. Responsible for technical strategy, LLM/agent systems design, and executive partnerships in high-stakes government and enterprise contexts.

Mission Software Engineer at Scale AI supporting federal government customers. Role involves scoping and developing onsite solutions, building backend systems, and managing data integrations for government agencies in secure environments. Requires TS/SCI security clearance or ability to obtain one.

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