Find your next AI Engineering role

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'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 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.

$163k - $204k

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.

$163k - $204k

Scale AI

Scale is seeking an Engineering Manager for its Customer Platform team, focusing on GenAI. This role is pivotal in integrating our platform with external systems, ensuring seamless and reliable connectivity for both internal users and customers. You will drive the strategy, architecture, and development of our connectivity solutions, with a focus on API integration, distributed systems, and a robust data platform. Your leadership will be crucial in maintaining and enhancing our platform's ability to meet the diverse needs of our stakeholders.

$216k - $270k

Scale AI

As Engineering Manager for Agent Oversight, you will lead the team responsible for building Scale's platform for monitoring, evaluating, and improving agentic applications for enterprise and government clients. This role involves owning the platform's roadmap, encompassing deployment, monitoring, evaluation, ML-driven improvement, and continuous learning to ensure agents enhance over time. You will manage the engineering team, drive technical delivery, and collaborate with customers and internal partners to bring these critical capabilities to production, aiming to set the industry standard for agentic application oversight. The platform currently supports agent deployments for multiple clients, and this US-based role will play a key part in defining and scaling the team.

$248k - $311k

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's LLM post-training platform team builds an internal distributed framework for large language model training, powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. This platform also serves as the underlying training framework for the data quality evaluation pipeline. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works, enabling next generation LLM training, inference, and data curation.

$290k - $363k

Scale AI

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentoring other engineers on defining requirements with stakeholders and communicating tradeoffs of technical implementations. You will define the technical strategy for agentic guardrails, explainability, and fleet orchestration, ensuring system reliability and performance across multiple security classifications and network types. You will also influence the long-term product strategy and technical roadmap for the Federal business unit and consult on the architecture of AI-powered solutions for large-scale federal contracts.

$189k - $362k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

$252k - $315k

Scale AI

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

$216k - $270k

Scale AI

Scale Generative AI Platform (Scale GP) is an enterprise-grade platform providing APIs for knowledge retrieval, inference, and evaluation. We are seeking a skilled engineer to contribute to building and scaling our product in a dynamic environment. The role involves owning significant product areas, working across backend and frontend development, and integrating with LLMs and ML models. You will tackle complex engineering challenges related to scalability and reliability, ensuring high-quality delivery and customer engagement throughout the product lifecycle.

$179k - $224k

Scale AI

As a Senior Staff Frontier Agents Engineer, you will be the technical bridge between Scale AI's advanced AI capabilities and our most strategic enterprise customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production. You will work hands-on with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

$288k - $360k

Scale AI

We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment. In this role, you will lead a team of 80+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements.

$298k - $373k

Scale AI

Scale Generative AI Platform (SGP) is seeking a skilled engineer to join its team and contribute to building and scaling its core infrastructure. This role involves implementing solutions across multiple cloud providers (GCP, Azure, AWS) for clients in regulated industries such as healthcare, telecom, finance, and retail. The ideal candidate will possess a strong foundation in software engineering principles and experience with large-scale distributed systems.

$179k - $224k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$252k - $315k

Scale AI

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

$302k - $378k

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join the General Agents team, focusing on building robust, production-ready AI agents for enterprise use cases. This role involves working across the entire agent lifecycle, from design and development to evaluation, deployment, and iteration. You will translate cutting-edge agentic techniques into reliable systems that solve high-impact business problems, emphasizing generalization, extensibility, and deployment across multiple customers. The team operates at the intersection of frontier agent development and real-world application, aiming to deliver significant economic value through scalable agent systems.

$290k - $363k

Scale AI

Scale Labs is seeking a Research Scientist focused on Safety Post-Training to develop and apply methods for making frontier AI systems safer and more understandable. This role involves designing and executing post-training pipelines to analyze how training choices impact model safety, robustness, and alignment. You will also develop evaluations informed by interpretability techniques to uncover the reasons behind undesirable model behaviors and use these insights to guide targeted safety mitigations. A key aspect of this position is collaborating with policymakers, engineers, and other researchers to translate findings into actionable safety standards, benchmarks, and best practices.

$216k - $270k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles complex problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The Research Scientist, AI Controls and Monitoring will design methods, systems, and experiments to ensure advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.

$216k - $270k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles fundamental challenges in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The role involves collaborating broadly across industry, the public sector, and academia, and regularly publishing findings to shape the future of AI safety and alignment.

$216k - $270k

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

The Human Frontier Collective (HFC) is a unique and exclusive expert network that brings together researchers, academics, and domain leaders from over 70 fields to shape the future of AI. With over 90% of members holding doctorates, the collective focuses on how frontier AI systems are built, evaluated, and governed. Members participate in high-impact AI/ML projects, collaborate on research publications, and gain access to a vibrant community network. This role offers opportunities to work on projects such as building AI safety guardrails, optimizing PyTorch models, and evaluating ML code, with the potential to co-author technical reports and research papers.

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires individuals who are "AI-native" in their approach, leveraging coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is remote and based in the United States, offering a steep learning curve and the opportunity to rebuild how money moves across borders.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that consolidates tools for researchers, enabling them to manage literature, databases, scientific computing, analysis, and output generation within a single environment. This role offers the opportunity to shape a new product category, influencing both the product and its architecture. You will act as a technical leader, focusing on the end-to-end researcher experience, collaborating with internal research teams to integrate model capabilities into production, and taking ownership of future product development.

$405k - $485k

Vectara is seeking a Platform Engineer to own the infrastructure that runs our deploy-anywhere platform. This role involves managing Kubernetes clusters for ML inference at scale, CI/CD pipelines, infrastructure as code, and the observability stack. You will be hands-on, writing Helm charts and Terraform, debugging issues, and shipping backend service features. The position requires deploying across AWS, GCP, and on-premises environments, including air-gapped setups, and participating in an on-call rotation to support enterprise customers.

CoreWeave is seeking a visionary VP, Product AI/ML to own the product strategy and engineering execution for services powering AI research labs. This executive leader will bridge the gap between infrastructure and researchers, delivering a seamless, high-performance environment for frontier model development. You will lead the product strategy for our Research Training Stack, focusing on specialized orchestration, evaluation, and iteration tools for massive-scale pre-training and post-training, operating at the intersection of high-performance computing and cloud-native agility.

$233k - $341k

CoreWeave is seeking a Staff Software Engineer to join the Inference Platform Team. This team builds and operates CoreWeave’s Kubernetes-native inference platform, designed for low-latency, high-throughput AI workloads at massive scale. As a technical leader, you will drive architecture, performance, and reliability across multiple services and teams. Your responsibilities will include optimizing inference performance (latency, throughput, and GPU utilization), improving system reliability, and working deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization. This role requires hands-on technical leadership and the ability to influence engineering direction across the organization.

$188k - $275k

CoreWeave is seeking a Staff Software Engineer for its Identity & Access Management (IAM) team. This is a high-impact leadership role focused on architecting and expanding CoreWeave's IAM strategy to secure its high-performance cloud infrastructure. The engineer will balance rapid execution with a long-term technical vision to meet the demands of global enterprise customers, designing and extending a platform that secures the company's rapidly expanding cloud platform.

$188k - $275k

CoreWeave is seeking a Staff Software Engineer for the Developer Experience (DevEx) team. This team is responsible for the platform, services, and systems that empower all engineers at CoreWeave to build and ship software efficiently and reliably. The scope includes CI/build infrastructure, testing, delivery systems, artifact management, internal developer platforms, and AI tooling. This role is for a technical leader who will define the technical strategy for DevEx, address complex developer productivity challenges, and shape the future of the agentic developer platform.

$188k - $275k

CoreWeave is seeking a Staff Machine Learning Engineer to join the AI Insights team. This role will be a technical leader responsible for defining and implementing machine learning systems that power anomaly detection, signal correlation, incident understanding, recommendations, and other intelligence capabilities across CoreWeave’s observability and cloud platforms. You will work across the full machine learning lifecycle, from problem framing and model development to evaluation, service building, and scaled operation. The position involves close collaboration with software engineers, product managers, researchers, and domain experts to transform innovative ideas into reliable customer experiences, focusing on building underlying ML systems for AI-powered troubleshooting and optimization in real-world environments.

$180k - $250k

CoreWeave is seeking a Sr. Engineering Manager to lead the core team for its next-generation Inference Platform. This role involves leading a team of senior and staff engineers in building and operating CoreWeave's Kubernetes-native inference platform. The ideal candidate will have a strong track record in managing large-scale distributed systems and cloud services, with deep expertise in Kubernetes at production scale. This position offers the opportunity to work in a fast-paced, hyper-growth environment with a team dedicated to building innovative solutions for AI.

$188k - $303k

CoreWeave is seeking a Software Engineer to join the Inference team, focusing on shipping production features that enhance model serving on their GPU platform. This role involves improving latency, reliability, and cost-efficiency. As an IC1, you will implement well-scoped changes, learn operational practices, and grow with mentorship from experienced engineers. CoreWeave is the essential cloud for AI, providing a platform of technology, tools, and teams that enable innovators to build and scale AI with confidence.

$92k - $135k

CoreWeave is seeking a Senior AI Platform Engineer to lead the design, implementation, and governance of AI tools for employees. This role involves owning the AI tools used daily across various platforms, ensuring their safe adoption through integrated identity, device, and tenant-level controls. The ideal candidate is passionate about AI's bleeding edge, enjoys rapid learning, and has a strong background in production software/SRE engineering, hands-on LLM/agent work, and enterprise IT controls. Success in the first year means enabling employees with frontier AI capabilities quickly and securely, establishing a robust AI operating framework, and building foundational controls for AI tool adoption.

$182k - $242k

CoreWeave is seeking a Senior Engineer for its Benchmarking & Performance team. This role will be instrumental in managing a planet-scale performance data warehouse, handling the ingestion, storage, transformation, and analysis of performance events across global data centers. The engineer will also contribute to industry-leading performance benchmarking publications like MLPerf. The position involves owning designs, elevating engineering standards, and driving measurable improvements in latency, throughput, and reliability across multiple services. Collaboration with product, orchestration, and hardware teams will be key to evolving the Kubernetes-native platform and meeting stringent P99 SLAs at scale.

$182k - $242k