Scale AI

Scale AI

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs, as well as data quality evaluation. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development, enabling the next generation of LLM training, inference, and data curation.

$190k - $237k

Scale AI

Scale works with leading AI labs to accelerate GenAI research by providing high-quality data. This role focuses on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. You will develop novel methods to improve the alignment and generalization of large-scale generative models, collaborate with researchers and engineers on best practices in data-driven AI development, and partner with foundation model labs to provide technical and strategic input on next-generation generative AI models.

$166k - $207k

Scale AI

Scale's internship program offers a unique opportunity for students to contribute to real, impactful projects alongside full-time engineers. Interns will work on the same roadmaps as experienced professionals, receiving mentorship from world-class talent in a culture that emphasizes ownership, speed, and truth-seeking. Many interns find this experience so valuable that they return as full-time employees.

Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Scale AI

The Human Frontier Collective (HFC) aims to bring together top minds to shape the future of AI, focusing on the people who teach AI systems. The collective comprises researchers, academics, and domain leaders from over 70 fields, with most members holding doctorates. HFC members contribute to shaping how frontier AI systems are built, evaluated, and governed, and have co-authored significant research publications. The fellowship offers participation in high-impact AI/ML projects, opportunities to publish research, and access to an exclusive expert network.

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

Scale AI

Our Generative AI Data Engine powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. The data produced is crucial for how humanity will interact with AI. This horizontal, high-impact Staff Fullstack Engineer & Architect position reports directly to the Director of Contributor Engineering. Your scope spans across all Contributor (CB) teams, powering AI data operations from building high-impact datasets to optimizing contributor onboarding and incentives, and safeguarding data integrity. You will act as an organizational architect and tech lead, embedding into high-priority projects to guarantee execution, unblock teams, and ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.

$252k - $315k

Scale AI

Scale is seeking a Staff Machine Learning Research Engineer to join the Applied Intelligence Systems (AIS) team, which is part of the Scale Generative AI Platform. This role focuses on advancing agentic AI applications for enterprise and government use cases. You will work across the full spectrum of technical challenges within AIS, contributing to areas such as model training and fine-tuning, designing evaluation systems, building improvement loops from production data, prototyping novel agent architectures, and developing internal tooling. This is a hands-on research and engineering position where you will write code, ship production systems, and set the AI/ML technical direction for the team, influencing methods, architectures, and standards for others.

$250k - $350k

Scale AI

Scale is seeking a Staff Machine Learning Engineer for its Public Sector team to lead the design and deployment of agentic AI systems in critical government environments. This role involves working at the intersection of agentic ML, systems engineering, and applied research to build foundational infrastructure for AI systems that reason, plan, and act reliably at a national scale. You will partner directly with U.S. defense and intelligence agencies, contributing to flagship programs that advance agentic AI for geospatial reasoning, planning, and decision support. As a Staff ML Engineer, you will set technical direction, own core architectures, and translate ambitious ideas into production systems trusted by government operators.

$274k - $343k

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms, healthcare copilots, or autonomous workflows for Fortune 100 companies. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, this role is for you.

$265k - $331k

Scale AI

Scale is seeking a New Grad Software Engineer for its Public Sector team. This role involves building core product systems to ingest and process federal datasets, supporting real-time decision-making in critical environments. You will own mission-facing work from day one, shipping features, interacting directly with government stakeholders, and iterating rapidly. The position offers the opportunity to work on impactful projects, from developing AI agent guardrails and RAG pipelines to creating data visualization tools and deploying applications in secure government environments.

$124k - $162k

Scale AI

Scale is seeking New Grad Software Engineers to join their mission of developing reliable AI systems. In this role, you will own meaningful, customer-facing work from day one, shipping products, interacting directly with customers, and iterating quickly. You will contribute to building and deploying AI applications that deliver real impact for enterprises and governments.

$124k - $162k

Scale AI

Scale AI is seeking a Senior Software Engineer to design, build, and operate secure, scalable infrastructure that empowers employees. You will join a team focused on implementing automation across identity and access management, endpoint management, and the broader SaaS stack. The role involves leveraging various models and platforms to create applications, slackbots, and dashboards for internal users, streamlining complex workflows through automation and elevating the velocity of G&A teams.

$216k - $270k

Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

Scale AI

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

$290k - $363k

Scale AI

Scale is seeking a Senior Machine Learning Engineer to own the application of generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical production problems. In this role, you will tackle challenges without established solutions, proposing and building architectures, and ensuring their performance in customer-dependent environments. The Public Sector Machine Learning team focuses on deploying advanced models to government systems, with a primary emphasis on agentic systems built on large language models. This includes developing agents for complex operational and planning tasks, integrating retrieval pipelines and production APIs, managing state for long-running tasks, performing geospatial reasoning, and creating evaluation tooling. The role also involves applying reinforcement learning and computer vision for defense applications, including evaluation, labeling efficiency, and multimodal model training. As a Senior MLE, you will have design authority over a capability area, making final decisions on team patterns and ensuring they function under real-world constraints like classified environments, limited compute, and strict correctness requirements.

$235k - $294k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms and healthcare copilots. If you enjoy experimenting with the latest models and shipping production systems that create measurable business impact, this role is for you.

$216k - $270k

Scale AI

Scale works with leading AI labs to accelerate progress in GenAI research, focusing on LLM post-training and evaluation. This role is on the evaluation pod, building benchmarks and diagnosing model failure modes in text and multimodal modalities. You will develop rigorous evaluations to reveal where and why frontier models fail, collaborating with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with foundation model labs to translate failure analysis into technical and strategic input for next-generation generative AI models.

$166k - $207k

Scale AI

The Machine Learning Engineer role at Scale focuses on applying advanced techniques in generative AI, computer vision, reinforcement learning, and agentic AI to enhance production environments for Scale's products and customer experience. Leveraging robust internal infrastructure and extensive datasets, ML engineers drive product improvements. The Public Sector team specifically deploys cutting-edge models for mission-critical government systems, working with large language models and computer vision. This includes developing agentic systems for complex challenges, building agent frameworks, and creating evaluation tools. Efforts also involve advancing reinforcement learning for LLMs and training advanced computer vision models for defense applications, including large-scale fine-tuning and developing generalizable foundation models.

$235k - $294k

Scale AI

Scale AI is seeking a Frontier Agents Engineer (Applied AI) to bridge the gap between cutting-edge AI research and production deployment. In this role, you will partner directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will work across a diverse portfolio of AI challenges spanning multiple industries and use cases, building systems that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in.

$180k - $225k