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Machine Learning Research Scientist, Post-Training
Research and develop post-training techniques (SFT, RLHF, reward modeling) to improve large language and multimodal models, publish findings, and collaborate with top AI labs.

Forward Deployed Software Engineer, Public Sector
Embed with U.S. government customers to design, build, and deploy AI applications that support critical missions, using Python, TypeScript, and cloud platforms.

Principal Architect
Principal Architect leading a large engineering team to design and deploy agentic AI products, guiding technical strategy and high-stakes stakeholder engagements.

Staff Solutions Architect, Enterprise
Senior technical leader designing and deploying enterprise-scale AI solutions for Fortune 500 clients, bridging business needs with Scale’s AI platforms and influencing product direction.

Product Manager of AI Applications, Global Public Sector
Lead the design and delivery of custom AI applications and LLMs for government clients using Scale’s GenAI platform, collaborating with engineers and stakeholders to build transformative solutions.

Senior Full-Stack Software Engineer, (Forward Deployed), GPS
Build full-stack AI applications for public-sector clients, deploying on-site to integrate LLMs and cloud infrastructure with React, TypeScript, and Python.

Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Build and deploy production-grade AI agents that combine LLMs, tool use, and control logic to solve enterprise problems, from design to evaluation and iteration.

Senior / Staff Machine Learning Research Scientist, Agents
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.

Software Engineer, Enterprise AI
Build and scale an enterprise-grade Generative AI platform, integrating LLMs, vector databases, and distributed systems to deliver scalable APIs for knowledge retrieval and inference.

Software Engineer, Platform
Platform engineer at Scale AI designing shared internal platforms — foundational data platforms, core cloud infrastructure, and orchestration — that power its LLM/RLHF data products. Day to day is backend systems work on AWS with Kubernetes, Terraform, Temporal, Mongo/Postgres and CI/CD.

Solutions Engineer (Clearance Required)
Solutions Engineer at Scale AI, building and demonstrating AI/ML products for federal clients, integrating datasets, and shaping commercial offerings for government use cases.

Solutions Architect, Enterprise
Solutions Engineer at Scale AI designs and delivers tailored GenAI demos and pilots for enterprise clients, scoping technical requirements and securing technical wins through close collaboration with sales, product, and engineering teams.

Staff Full-Stack Software Engineer, (Forward Deployed), GPS
Build and deploy full-stack AI applications for public-sector clients, integrating Python/Node.js/React with cloud infrastructure and LLM-driven systems.

Staff FullStack Software Engineer, (Forward Deployed), GPS
Lead the architecture and full-stack development of AI applications for public-sector clients, integrating Python/Node.js/React with Kubernetes and cloud platforms to deliver secure, scalable solutions.

Senior Infrastructure Software Engineer, Enterprise AI
Design and maintain multi-cloud infrastructure for enterprise AI agents, focusing on reliability, security, and observability across AWS, GCP, and Azure.

Staff Software Engineer, Data Platform
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems, collaborating with cross-functional teams to deliver high-impact infrastructure for the forefront of AI.

Staff Software Engineer, Enterprise GenAI
Build and scale Scale GP, an enterprise-grade GenAI platform with APIs for knowledge retrieval, inference, and evaluation, working across backend, frontend, and LLM integrations.

Staff Software Engineer, Public Sector
Builds core agentic systems for government use, including guardrails, data pipelines, and fleet orchestration, while mentoring engineers and advising senior stakeholders on technical trade-offs.

Tech Lead Manager- MLRE, ML Systems
Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training…