Scale AI

Senior/Staff Machine Learning Engineer on the General Agents team, responsible for designing, building, and deploying production-ready AI agents for enterprise use cases. This role involves working across the full agent lifecycle, from model and system design to evaluation, deployment, and iteration, bridging cutting-edge agentic techniques with real-world deployment constraints.

This role is for an Engineering Manager on the Enterprise team at Scale AI, focusing on being a technical bridge between Scale AI's AI capabilities and strategic enterprise customers. Responsibilities include understanding customer challenges, leading a team to architect and deploy AI solutions (specifically AI agents and integrations), prompt engineering, and RAG systems. The role requires strong software engineering and management experience, Python expertise, and cloud platform familiarity, with a focus on customer-facing AI deployments.

Distinguished Engineer to shape the vision and technical roadmap of core AI/ML infrastructure powering enterprise AI applications, driving long-term technical direction for the Scale GenerativeAI Platform (SGP), influencing architecture, and partnering with leaders to deliver advanced AI capabilities to enterprise customers. This hands-on technical leader will set standards, mentor senior engineers, and ensure global-scale deployment readiness.

Engineering Manager for AgentOps team focused on building an Agent Development Platform to manage agent lifecycles, including building, deploying, monitoring, evaluating, and improving agents. The platform aims to support RL workflows and knowledge capture for continuous performance improvements.

Scale AI is looking for a Staff/Senior Staff ML Engineer to lead Deep Research Agent Development for enterprise applications. This role involves setting technical strategy, driving research to production, and leading a team in building, orchestrating, and evaluating multi-agent systems at scale. Requires strong experience in Generative AI, LLMs, and AI Agents, with a focus on integrating diverse data modalities and ensuring production-readiness.

Senior Forward Deployed AI Engineer for Scale AI's Enterprise team, acting as a technical bridge to strategic customers. Responsibilities include understanding customer challenges, architecting custom AI solutions, ensuring successful deployment and adoption of AI systems, developing production-grade AI agents and multi-agent systems, implementing evaluation frameworks, prompt engineering, RAG, fine-tuning, and collaborating with customer and internal teams. Requires strong software engineering, Python, ML/AI frameworks, and cloud platform experience.

ML Research Engineer focused on building and optimizing the internal distributed framework for large language model training and inference, supporting ML research and development.

Lead applied ML engineering on Scale's Applied ML team, focusing on building and deploying scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures, shipping production fixes.

Senior Machine Learning Engineer focused on deploying and improving generative AI, computer vision, reinforcement learning, and agentic AI models for mission-critical government systems. The role involves building agent frameworks, fine-tuning models, and advancing research in RL for LLMs, with a strong emphasis on production environments and large datasets.

This role focuses on building and scaling the infrastructure for large-scale AI model training, specifically the 'Operating System' for GPU clusters. It involves architecting a high-performance training platform, managing multi-tenant orchestration, optimizing job scheduling, and ensuring deep observability and reliability for massive workloads. The goal is to maximize the efficiency and velocity of AI researchers training advanced models.

Staff Software Engineer at Scale AI focused on building core product building blocks for agentic capabilities in the public sector. Responsibilities include processing federal datasets for real-time decision-making, developing multi-layered guardrails around agents, optimizing data retrieval, orchestrating asynchronous agents, and alerting users to data deviations. The role involves mentoring engineers, defining technical strategy for agentic features, ensuring system reliability, and consulting on AI-powered solutions for federal contracts.

ML Systems Engineer focused on building and scaling serving platforms for robotics-related foundation models, optimizing algorithms for cloud GPUs, and developing internal platforms for model capability discovery. The role involves backend system design, ML infrastructure, and ensuring low latency for real-time applications.

Senior Forward Deployed Data Scientist/Engineer to partner with enterprise customers, understand workflows and pain points, and build end-to-end data products and AI/ML systems. This role involves defining metrics, designing experiments, building tools (evaluation explorers, workflow applications, decision-support systems), and driving solutions into production, with a focus on measurable business impact and rigorous evaluation. Experience with AI-assisted development tools is expected.

This role focuses on building and scaling automated evaluation pipelines for AI systems, including LLMs and agentic models, to ensure their reliability, safety, and effectiveness in mission-critical government environments. It involves designing test datasets, benchmarks, and frameworks for various metrics, including LLM-judge evaluations, agent testing, and stress tests.

Tech Lead Manager for MLRE, ML Systems at Scale AI, focusing on building and optimizing the internal distributed framework for large language model training and evaluation. The role involves collaborating with ML teams to accelerate research and development, and integrating state-of-the-art technologies to optimize the ML system, supporting both training and inference.

Seeking a Principal Architect to lead a team of 50+ engineers in designing, developing, and deploying agentic AI products, focusing on LLMs and AI agents, for defense applications. The role involves technical direction, executive stakeholder engagement, and strategic planning, with success metrics tied to customer demonstrations and contract awards.

Engineering Manager to lead a Forward Deployed Engineering (FDE) team focused on delivering high-impact GenAI solutions in production for enterprise customers. The role involves leading, mentoring, and growing the team, working hands-on with customers to solve complex business and technical challenges, and shaping the product roadmap based on customer needs.

Scale AI is seeking an Applied AI Engineer for their Enterprise team in London, UK. The role involves working with clients to build advanced AI agents and ML solutions using the Scale Generative Platform (SGP), focusing on enterprise needs such as cybersecurity and genomics. Responsibilities include owning AI strategy, leveraging SGP for agent development (including multimodal and tool-calling features), gathering business requirements, collaborating with clients and internal teams, and deploying production code. The ideal candidate has a strong engineering background, Python proficiency, and experience with cloud ML development. Familiarity with Generative AI in production is a plus.

Senior AI Infrastructure Engineer focused on building and maintaining scalable, reliable, and efficient platforms for serving LLMs. The role involves backend system design, integrating models, developing monitoring solutions, and leading projects end-to-end. Requires strong programming skills and experience with LLM serving fundamentals and container orchestration.

Scale AI is seeking an Applied AI Engineer to build advanced AI agents for enterprise clients using their Generative Platform (SGP). The role involves owning AI solutions for complex technical problems, leveraging multimodal functionality and tool-calling, and collaborating with clients and internal teams. The engineer will push production code and work with data-driven experiments to improve product performance.

Applied AI Engineer for Scale AI's Global Public Sector team, focusing on building custom end-to-end AI applications for public sector clients, generating training data for LLMs, and providing AI advisory services. The role involves deploying AI solutions, creating datasets, fine-tuning models, and establishing evaluation frameworks.

Scale AI is seeking candidates who attended the DC SACC '26 conference for roles focused on developing reliable AI systems for critical decisions, particularly in defense applications and autonomous vehicles. The company is a leading AI data foundry, providing data and technologies for AI model development and deployment.

Senior Software Engineer focused on building core product components for agentic capabilities in the public sector, involving processing federal datasets for real-time decision-making and developing multi-layered guardrails, data retrieval optimization, and agent orchestration.

Staff Full-Stack Software Engineer to lead technical strategy and architect production-grade AI applications for public sector clients, integrating UIs, backends, and AI models at scale. This role involves guiding cloud infrastructure evolution, directing core platform development, and bridging field lessons into reusable patterns.

This role focuses on designing and developing the production lifecycle of full-stack AI applications for international government partners, ensuring end-to-end system reliability, inference observability, data orchestration, security, and resilient cloud infrastructure. It involves owning production outcomes, scaling feedback loops, navigating global compliance, leading incident response, and driving product evolution based on field learnings.

Scale AI is seeking an Infrastructure Software Engineer to build and scale their enterprise GenAI platform, focusing on multi-cloud systems, customer data integrations, and productizing AI technologies like LLMs and vector databases for regulated industries.

Technical Program Manager for Robotics Data at Scale AI, responsible for driving complex technical operations, managing a portfolio of robotics data projects, ensuring milestones are met, and de-risking dependencies. The role involves bridging technical and operational gaps, architecting scalable data ingestion pipelines for VLA models, enforcing data quality and governance, standardizing processes for scale, and communicating progress with data-driven updates. Requires a strong technical foundation in AI/ML, TPM experience in robotics or data operations, and hands-on problem-solving skills.

This role focuses on the production lifecycle and operational reliability of full-stack AI applications for international government partners, emphasizing system integrity, inference observability, security, and compliance within regulated environments. It involves scaling feedback loops, incident command, and translating technical metrics for stakeholders.

Software Engineer focused on building production systems for robotics data collection, model training pipelines, and evaluation infrastructure within Scale AI's Robotics business unit. The role involves owning data processing pipelines, ML training/fine-tuning, and developing tools for data collection and evaluation, with a focus on real-time systems and data integrity.

Senior Software Engineer role on a new Agentic Data Products team focused on building next-generation agent-powered tools for enterprises. The role involves full-stack development, integrating LLMs, vector databases, and agentic frameworks to create intelligent systems that reason over data and take action. It's a 0->1 build with a focus on shipping quickly and owning product areas from concept to deployment.

Software Engineer focused on building production systems for robotics data collection, model training pipelines, and evaluation infrastructure within Scale AI's Robotics business unit. The role involves working across backend and frontend stacks to develop end-to-end solutions for robotics and autonomous vehicle datasets, and collaborating with ML engineers and researchers.

Solutions Engineer for Scale AI's Robotics team, focusing on physical AI and autonomous systems. The role involves partnering with customers to deliver pilots, influence product roadmaps, and become a domain expert in robotics and physical AI. Key responsibilities include technical customer engagement, designing solutions, and contributing to the development of a Robotics Data Marketplace.

Backend Engineer role focused on building and scaling the core infrastructure for enterprise GenAI products, including scalable APIs, distributed data systems, and deployment pipelines. The role involves optimizing performance, managing cloud infrastructure, and collaborating with ML/product teams to bring GenAI models into production.

Staff Infrastructure Software Engineer focused on building and scaling the 'paved road' for knowledge retrieval and inference engines, defining deployment standards for Agentic workflows, and architecting multi-cloud systems for enterprise AI in regulated industries.

Engineering Manager for Scale AI's Global Public Sector team, focusing on leading engineering efforts to power custom AI applications, AI agents, evaluation tooling, and automation for public sector clients. The role involves managing teams, driving technical delivery, and working across the product lifecycle.

Scale AI is seeking a Forward Deployed Engineer, GenAI to drive impact by delivering critical data solutions for leading AI innovators and government agencies. The role involves customer collaboration, end-to-end development of features across the stack, and rapid experimentation to meet customer needs. The FDE will work with advanced LLMs and generative models, focusing on RLHF, human data generation, model evaluation, safety, and alignment.

Senior Software Engineer, GenAI at Scale AI, focusing on building and maintaining scalable systems for the Generative AI Data Engine. This role involves full-stack development, implementing features with modern technologies, and collaborating with internal operators and ML teams to ensure data quality and operational excellence. The goal is to power advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment.

Staff Software Engineer role at Scale AI focused on building and scaling an enterprise-grade Generative AI platform. The role involves owning large product areas, working across the full stack, interacting with LLMs and ML models, and solving hard engineering problems in scalability and reliability.

Software Engineer role focused on building and scaling backend systems and infrastructure for enterprise Generative AI products, ensuring reliability, performance, and efficient integration of AI models and data.

Software Engineer for Scale AI's Generative AI Platform, focusing on building and scaling enterprise-grade AI products. Responsibilities include owning product areas, working across the full stack, interacting with LLMs, and solving scalability/reliability challenges.

Software Engineer focused on the model inference layer for Scale AI's Public Sector customers, involving secure backend systems, re-architecting for compliant environments, integration testing, and customer engagements. The role emphasizes enabling state-of-the-art models, debugging AI tools, managing infrastructure, and ensuring scalability and security within government mandates.