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Engineering Manager, Saudi Arabia
Engineering Manager leading a regional team in Riyadh that builds and delivers full-stack AI applications—LLM-powered features, AI agents, and API integrations—for Saudi government clients. Combines hands-on AI/ML and full-stack engineering with people management and direct client-facing engagement.
Staff Software Engineer, Full Stack - Gen AI
Staff Full Stack Engineer at Scale AI building and evolving the Gen-AI data platform that powers LLMs via RLHF, vector databases, and cloud-native infrastructure.
Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Build observability, evaluation, and improvement loops for production-grade AI agents, ensuring reliability and performance across enterprise and government use cases.
Field Engineer, Public Sector
Field Engineer collaborates with public sector clients to build and optimize AI data pipelines, integrating customer systems with Scale's platform while ensuring smooth technical delivery.
Senior Manager, Research Scientist
Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research,…
Machine Learning Engineer, Public Sector
Machine Learning Engineer on Scale AI's Public Sector team, deploying generative AI, LLM agents, and computer vision models into mission-critical government systems (Donovan, Thunderforge). Day to day involves productionizing models, fine-tuning on massive datasets, and building scalable ML infrastructure, primarily in Python with TensorFlow/PyTorch, and requires an active security clearance.
Senior Mission Software Engineer, Public Sector
Embed with U.S. government customers to design, build, and deploy AI systems that support critical missions, from prototype to production, using Python, TypeScript, and cloud platforms.
Frontier Agents Engineer (Applied AI)
Build and deploy production AI agents that combine frontier models with enterprise data and software, designing reasoning systems, retrieval pipelines, and multi-agent workflows for Fortune 100 clients.
Senior Frontier Agents Engineer (Applied AI)
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.
Staff Frontier Agents Engineer (Applied AI)
Design and deploy production AI agents that combine frontier models, retrieval, and structured knowledge to automate complex workflows for enterprise customers across industries like finance and healthcare.
VP, Research
Lead Scale AI’s research org to define next-era AI systems, blending frontier ML science with applied impact, safety evaluations, and alignment frameworks for LLMs and agentic applications.
Senior Software Engineer, AI Operations, GPS
Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.
Machine Learning Research Scientist, Evaluations
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Staff Software Engineer, RL Environments
Staff-level hands-on engineer who owns the platform and hard engineering behind Scale's RL environments for LLM training: sandboxed execution, packaging, rollout orchestration, trajectory capture, and trustworthy verifiers/graders. Core stack is Python plus another systems language, Docker/Kubernetes/gVisor/Firecracker, distributed backend systems, and LLM agent tooling.
Software Engineer - New Grad
New grad software engineer at Scale AI in San Francisco, owning customer-facing AI products from day one — building training data pipelines, evaluation infrastructure, and agentic AI applications. Core stack includes Python, TypeScript, React, and MongoDB, with hands-on LLM experience a plus.
Senior Machine Learning Engineer, Public Sector
Senior ML engineer owning end-to-end design and production deployment of LLM-based agentic AI systems for US government/defense missions (Donovan, Thunderforge) — architecture, evaluation benchmarks, and models that work in constrained/classified environments. Core stack: Python, PyTorch/TensorFlow, GenAI/LLMs, reinforcement learning, computer vision.
Staff Machine Learning Engineer, Public Sector
Staff ML Engineer on Scale AI's Public Sector team leads the design and deployment of agentic AI systems for U.S. defense and intelligence customers (e.g., Donovan, Thunderforge), working on geospatial reasoning, retrieval/embeddings, agent memory, and evaluation infrastructure. Requires an active TS security clearance and deep Python/PyTorch production ML experience.