Find your next AI Engineering role

Mistral AI

Mistral AI is a company dedicated to democratizing AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments, including our AI assistant, Vibe. We are a dynamic, collaborative, and passionate team committed to driving innovation and transforming society with AI. We are looking for a Product Monetisation & Pricing Lead to shape and execute pricing strategies for our product suite, working across Product, Engineering, Sales, and Finance to align pricing with customer value and support both product-led growth and enterprise deals. This role reports to the Head of Product Operations and is based in Paris with hybrid flexibility.

Decagon is seeking a Deal Lead to join their team at the intersection of Sales, Finance, and Strategy. As the first dedicated pricing hire, you will work closely with the Business Operations team to build the deal desk function from the ground up. Your primary goal will be to accelerate and scale the enterprise go-to-market motion by structuring and proposing deals, building internal deal processes, and managing commercial negotiations. This role offers a unique opportunity to shape how a category-defining AI company structures, prices, and closes deals as it scales, blending strategic thinking with high-caliber execution.

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises top talent from leading AI companies and competitive programming backgrounds. We are tackling significant challenges to build AI capable of reasoning on real-world tasks. Applied AI Transformation Managers are technical advisors and operators who align our AI platform with customer strategic projects and drive program delivery. You will identify opportunities for customers to gain value from our platform, ensure strong value capture and reporting, and design the operating and delivery models for agentic AI implementation within enterprises. This role involves acting as a trusted advisor to senior leaders, setting value realization targets, and managing transformation programs, embedding with key accounts to drive strategy and program management. You will be instrumental in helping customers achieve productivity gains and quantifiable financial impact, pioneering the playbook for enterprise AI Agent adoption.

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises top talent from leading AI companies and competitive programming backgrounds. We are tackling significant global challenges and developing AI capable of real-world reasoning. Applied AI Transformation Managers at Cognition act as technically-oriented strategic advisors and operators. They ensure value alignment with customer strategic projects and drive program delivery across key accounts. This role involves identifying opportunities for customers to leverage Cognition's platform, ensuring strong value capture and reporting, and designing the operating and delivery models for agentic AI implementation within enterprises. You will serve as a trusted advisor to senior leaders, defining value realization targets and managing transformation programs, working closely with select strategic accounts from initial strategy to in-depth program management and delivery. The goal is to pioneer the playbook for how large enterprises derive value from AI Agents, focusing on productivity gains and quantifiable financial impact.

Replit

Replit is seeking a Staff Infrastructure Engineer to join their Infrastructure Engineering team. This role focuses on ensuring the reliability, scalability, and performance of Replit's platform, which serves millions of developers globally. The engineer will bridge development and operations, implementing automation and best practices to enable efficient scaling and high availability. The position involves proactively identifying and resolving reliability issues, designing robust monitoring solutions, automating operational tasks, and mentoring the engineering team on reliability principles.

Mercor is seeking a Machine Learning Engineer to build and enhance the ML systems powering their Frontier Data Products. This role is crucial for scoring, validating, and improving complex work products where correctness is nuanced and labels are imperfect. You will design evaluation frameworks for ambiguous tasks, build feedback loops to improve models, and own production ML behavior end-to-end, considering tradeoffs in precision, recall, latency, and cost. This is an applied ML product engineering role with real production constraints, focusing on shipping ML systems that directly impact product and business metrics.

Mistral AI

Mistral AI is seeking a founding engineer for its Applied AI Site Reliability Engineering (SRE) sub-team. This role is crucial for building and operating a framework that ensures the reliability and sustainability of Mistral's AI solutions across all customer accounts, whether hosted by Mistral or the customer. You will operate in four key modes: BUILD (designing for a fleet of platforms, proactive reliability, authoring runbooks, implementing observability), RUN (operating Tier-1 customer environments, ensuring SLO compliance, managing incidents), ENABLE (productizing deployment, security, and scaling of Applied AI solutions), and SECURE (owning security operations, leading CVE response, and implementing supply-chain integrity controls). This is a framework-first, fleet management role focused on structurally solving problems for all customers, not just individual ones. The team values people and outputs, direct feedback, low ego, and high standards in a fast-paced, unstructured environment.

Scale AI

The Enterprise ML team is at the forefront of the AI revolution, collaborating with customers to solve significant business challenges and develop advanced AI systems. This role involves leading a team of research scientists and engineers, shaping the research agenda, and overseeing the entire development lifecycle from prototyping to deployment. The ideal candidate is a leader comfortable with ambiguity, possessing a deep understanding of generative AI capabilities and limitations, and driven to transform research into robust, production-ready systems. You will mentor and grow a team, define a multi-year research roadmap, and foster an inclusive, high-performing culture.

$290k - $362k

Scale AI

Scale AI is seeking a Backend Engineer to join their team and build the core infrastructure for large-scale GenAI systems. This role involves designing and implementing scalable APIs, distributed data systems, and robust deployment pipelines to ensure production-grade reliability and performance for enterprise AI products. You will be instrumental in shaping how AI systems are deployed and scaled in the real world, working at the forefront of the GenAI revolution and solving complex backend and infrastructure challenges. This is an opportunity to contribute to cutting-edge solutions that transform workflows and drive efficiency for major enterprises.

Scale AI

Scale AI is pioneering the next era of enterprise AI, providing cutting-edge solutions that transform workflows and automate complex processes for large enterprises. The Scale Generative AI Platform (SGP) offers foundational services and APIs for seamless AI integration at production scale. This role focuses on building the core infrastructure for large-scale GenAI systems, designing scalable APIs, distributed data systems, and robust deployment pipelines to ensure production-grade reliability and performance. It's an opportunity to solve hard backend and infrastructure challenges that enable AI to work at enterprise scale and shape how AI systems are deployed and scaled in the real world.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a chance to build a generational company at an inflection point, with strong product-market fit and investor support, scaling fast and defining a new category. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Product Backend Engineer, you will design and operate backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences, building secure, multi-tenant services and orchestrating interactions with LLMs and agentic tools.

Google DeepMind

Google DeepMind is seeking a Research Engineer to join their materials science team. This role involves accelerating the discovery of new functional materials by integrating artificial intelligence, computational simulation, and automated experimentation. You will collaborate with a diverse interdisciplinary team of domain experts, ML researchers, and engineers. The work focuses on pioneering research in various scientific domains, enabling the validation of early ideas and building infrastructure for promising research lines. You will contribute your scientific domain knowledge to the team's collective expertise.

$141k - $202k

Decagon is seeking an Agent Strategy Manager to join their London office. This role is a key part of the Agent Strategy team, focusing on shaping how customers utilize and derive value from Decagon's conversational AI platform. You will partner closely with enterprise clients to guide their AI agent deployments, support adoption, and ensure they achieve meaningful outcomes. This position involves cross-functional collaboration with Product and Engineering teams to translate customer needs into product improvements and influence the roadmap. The role requires a blend of relationship management and hands-on execution, ideal for a fast-paced environment with a desire for direct impact in a high-growth company.

Decagon is seeking an Agent Development Manager to join their Agent Development Team. This role will be responsible for building and scaling the function that develops world-class AI Agents for customers. The manager will own the strategy and execution for deploying Decagon across complex enterprise environments, ensuring smooth, impactful agent builds that lay the groundwork for long-term customer success. This includes designing and owning the agent development playbook, creating repeatable and scalable frameworks and processes, and continuously improving delivery through AI tools, automation, and operational design to boost efficiency and reduce time to value. The role requires close partnership with customer teams to understand workflows and goals, and cross-functional collaboration with Sales, Product, and Engineering to translate needs into successful agent builds, guiding complex rollouts and ensuring measurable impact.

Glean is seeking a Designated Technical Support Engineer to join its growing startup. Glean offers a Work AI platform that enhances productivity through intelligent search, an AI assistant, and AI agents. The platform provides enterprise-grade infrastructure for managing AI across businesses, with extensive connectors and LLM flexibility. The company is recognized for its innovation in AI and is expanding globally. The Designated Technical Support Engineer will act as a key technical resource for customers, ensuring a high level of service and customer satisfaction.

$120k - $190k

Mistral AI

Mistral AI is seeking strong Software Engineers with cybersecurity experience to build and productionize their cybersecurity product offering. This role involves turning cutting-edge prototypes into robust, scalable services that power both offensive and defensive security capabilities. The work will directly enable the deployment of AI-powered cybersecurity at client sites and provide the infrastructure for continuous training and improvement. This is a unique opportunity to shape how AI-powered cybersecurity operates at scale within a dynamic, collaborative team passionate about AI's potential.

Langfuse is seeking a Senior Cloud Infrastructure Engineer to ensure the reliability, performance, and cost-efficiency of their open-source LLM engineering platform. This role is crucial for maintaining Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, as well as supporting self-hosted deployments. The engineer will own the end-to-end observability stack, automate infrastructure processes, and scale the platform to meet growing demand. This is an opportunity to work closely with the ClickHouse team and directly impact a product used by major enterprises.

As an Engineering Manager on the Agent Product team, you will lead a group of engineers building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users' needs with reliable and intuitive AI agents. Managers here are expected to operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. This role is for someone who enjoys mentoring engineers, partnering closely with customers, and diving deep into complex system challenges to build elegant solutions that scale to millions of users.

$280k - $430k

Black Forest Labs is seeking a Developer Experience Engineer to own the end-to-end developer experience for their generative AI platform, powering tools used by millions. This role is crucial for making the platform the choice for developers and agents alike, focusing on speed and ease of use from idea to production. You will identify and resolve friction points across the API, SDK, dashboard, and onboarding flows, working closely with product engineering, API/platform teams, research, and DevRel to ensure a seamless experience.

€140k - €190k

Replit

Replit is seeking a Japan Growth Lead to establish and scale the company's commercial presence in Japan. This high-impact role combines enterprise business development, channel sales, and market strategy, focusing on building partnerships with enterprise and government customers, activating reseller networks, and representing Replit at industry events. The ideal candidate possesses deep knowledge of Japan's business landscape, experience navigating enterprise and public-sector sales cycles, and the ability to build trust with diverse stakeholders.

Scale AI

Scale is seeking a Platform Product Manager to define and own the core infrastructure that powers AI deployment for major organizations. This role is distinct from a typical roadmap or feature-focused PM; you will be responsible for establishing the foundational elements upon which all other AI development relies. Your focus will be on ensuring reliability, prioritizing work based on customer needs and team velocity, identifying reusable patterns for core integration, and upholding a high standard of quality for all platform capabilities. The ideal candidate possesses a proven track record of defining and shipping production-ready platform capabilities in demanding environments, understanding the critical difference between necessary, interesting, and unnecessary development.

Legora is seeking a Design Systems Engineer to join our growing design team and support the company's rapid growth by enabling high-quality, lightning-fast implementation. You will work alongside the existing Design Systems Engineer to build the foundational elements that ensure our UI remains consistent, accessible, and quick to deploy. This role involves hands-on collaboration with designers, engineers, and PMs in our Stockholm office, focusing on how AI will reshape frontend development and empowering builders to operate at maximum speed.

Glean is seeking Backend/Infrastructure engineers to construct a high-performance, scalable, and secure system that ensures enterprise knowledge is readily accessible to employees in all work contexts. This role offers significant opportunities to contribute to building a modern cloud-native application stack, addressing challenges such as developing scalable distributed systems and storage, creating a unified framework for indexing diverse information sources, implementing end-to-end security measures, optimizing for instant user experience while managing system costs, and developing tooling for comprehensive monitoring and deployment across multiple cloud environments.

Replit

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. What You'll Do Core Responsibilities - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. Required Skills & Experience - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. What We Value - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Meet the Replit Agent - Replit: Make an app for that - Replit Blog - Amjad TED Talk Interviewing + Culture at Replit - Operating Principles - Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Scale AI

Scale AI is seeking a Technical Lead Manager for its Physical AI team, focusing on the development of general AI that can reason and act in the physical world. This role bridges cutting-edge Machine Learning research with physical robot deployment, leading a team of Research Engineers while remaining a hands-on technical contributor. The primary focus is on developing and evaluating Large-Scale Foundation Models, such as VLAs and World models, to enable robots and autonomous vehicles to generalize across diverse tasks and environments. The team leverages Scale's extensive data infrastructure to help build Foundation Models for Physical AI, aiming to redefine the future of automation.

$249k - $311k

Scale AI

Scale AI is seeking a Lead Counsel for its Global Public Sector team to support international expansion, particularly in Europe, the Middle East, and Asia. This role will focus on building and deploying Generative and Agentic AI systems for governments and public sector entities. The ideal candidate is a curious, open-minded, and action-oriented commercial attorney skilled in negotiating complex agreements and optimizing risk, while also being a strong team player who enjoys solving novel challenges and building relationships.

Scale AI

Scale AI is seeking an Engagement Manager to lead and coordinate the delivery of agentic workflows for the U.S. government and allied partners. This role requires a blend of program leadership, technical fluency, and contract awareness, with a focus on delivering enterprise-grade generative AI solutions. The ideal candidate will thrive in fast-moving, ambiguous, and mission-driven environments, managing customer relationships from executive to end-user levels and ensuring an exceptional customer experience. This position is forward-deployed in Germany, requiring regular travel and eventual relocation to be onsite with customers.

$191k - $291k

Scale AI

Scale AI is seeking a Director of Forward Deployed Engineering to lead delivery for their largest and most strategic enterprise accounts. This role involves embedding elite engineers with Fortune 500 customers to ship deeply integrated AI agents, overseeing everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure required for production readiness. The Director will partner closely with Product and core Engineering teams to ensure efficient delivery, translating field learnings into reusable platform capabilities. This is a high-autonomy, founder-mindset position focused on owning outcomes end-to-end, scaling a high-performing team, and shaping enterprise AI adoption.

Scale AI

Scale's Operations Planning Team is at the intersection of Engagement Management, GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management to make account planning predictable, auditable, and scalable. Each Planning TPM will support 1-2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting.

$151k - $189k

Scale AI

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

$216k - $270k

Scale AI

The Public Sector software engineers at Scale create core product building blocks for forward-deployed teams developing agentic capabilities across multiple domains. This role involves building systems to ingest and process federal datasets for real-time decision-making in contested environments, and developing novel agentic capabilities such as multi-layered guardrails, optimized data retrieval, and asynchronous agent orchestration. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentor other engineers, and define technical strategy for key agentic components. You will ensure system reliability and performance across various security classifications and network types, and communicate technical trade-offs to senior stakeholders to influence long-term product strategy.

$189k - $362k

Scale AI

Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong, Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology are flawless and lead to a successful long-term partnership. The work will vary daily, and we’re looking for technical experts excited to solve tough problems. As a solution engineer, you will be a part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

$186k - $233k

Scale AI

Scale's Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

Scale AI

Scale is seeking Senior Software Engineers to join our Public Sector team. You will build core product components that enable forward-deployed teams to develop agentic capabilities across multiple domains. This involves creating systems to ingest and process federal datasets for real-time decision-making in challenging environments. You will lead the development of new agentic capabilities, including multi-layered guardrails, optimized data retrieval, orchestration of asynchronous agents, automated deviation alerts, and decision-path illustration.

$162k - $311k

Scale AI

Scale AI is seeking a technical Product Manager to lead the evolution of the Public Sector Data Engine. This role is focused on building tools to measure and improve computer vision and generative AI models critical for national security systems. You will architect the vision for ML Ops tooling, creating a foundational engine for data management, curation, model development, and evaluation. This hybrid role requires a PM who understands both the strategic 'why' and the technical 'how,' bridging the gap between data labeling and full-stack AI partnership.

$178k - $266k

Scale AI

Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.

$249k - $311k

Scale AI

Scale is seeking a Forward Deployed Product Manager (FDPM) to drive the success of enterprise AI deployments. This role is embedded with customers, focusing on achieving real production outcomes and translating operational realities into actionable product insights. Unlike a traditional roadmap PM or solutions engineer, the FDPM owns product outcomes within a portfolio of enterprise accounts, building trust with senior stakeholders, guiding deployments to production, and identifying product versus execution bottlenecks. The ideal candidate can differentiate between stated customer needs, underlying problems, and optimal platform solutions, having previously shipped products into large organizations.

$206k - $300k

Scale AI

Scale Labs is seeking talented researchers to join a new team focused on policy research, bridging the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. This role will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer and better understood. You will design and run post-training pipelines, develop interpretability-informed evaluations, and collaborate with policymakers, engineers, and other researchers to translate findings into actionable safety standards and best practices.

$216k - $270k

Scale AI

Scale Labs is seeking a Research Scientist focused on Frontier Risk Evaluations to join a new team dedicated to policy research. This role bridges the gap between AI research and global policymakers, aiming to inform scientific decisions about AI risks and capabilities. The 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 risks while promoting AI adoption. This position involves designing and creating evaluation measures, harnesses, and datasets for assessing the risks posed by frontier AI systems, with opportunities to collaborate broadly and publish findings.

$216k - $270k

Scale AI

Scale Labs is seeking a Research Scientist focused on AI Controls and Monitoring to join a new team dedicated to policy research. This role will bridge the gap between AI research and policymakers, focusing on scientific decisions about AI risks and capabilities. The team tackles 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. You 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. This role involves collaboration across industry, the public sector, and academia, with regular publication of findings.

$216k - $270k