Scale AI jobs

Senior Product Manager - U.S. Growth San Mateo, CA Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Overview of the

Lead AI Product Engineer - AI Agents & Emerging Products Los Angeles, CA System1 is building the next generation of AI Agent-powered consumer products, and we're looking for a Lead AI Product Engineer to help lead the effort. You'll design, build, and operate our most ambitious AI agent systems from early prototypes through production, owning core architecture, reliability, and performance as these products scale. This is a high-impact, hands-on engineering role for a builder who can move quickly from concept to working systems, shipping, iterating, and hardening real agent workflows that deliver consumer value at scale. This role sits at the intersection of multi-agent orchestration, agentic coding, and production engineering, offering the opportunity to work on cutting-edge AI while directly influencing real-world product outcomes and business performance. You do not need prior experience with every protocol or framework listed below-we value strong systems thinking, production experience, and the ability to learn fast in emerging domains. System1 is building the next generation of AI Agent-powered consumer products, and we're looking for a Lead AI Product Engineer to help lead the effort. You'll design, build, and operate our most ambitious AI agent systems from early prototypes through production, owning core architecture, reliability, and performance as these products scale. This is a high-impact, hands-on engineering role for a builder who can move quickly from concept to working systems, shipping, iterating, and hardening real agent workflows that deliver consumer value at scale. This role sits at the intersection of multi-agent orchestration, agentic coding, and

AI Models, Product Manager Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Own the Future of AI Inference Cerebras powers the world's fastest AI inference. As the Product Manager for AI Models, you'll lead the strategic model portfolio that defines our product - deciding which models ship, how they perform, and how the world discovers them. You'll partner directly with leading AI labs, drive launches that shape the industry, and ensure every model on our platform delivers exceptional quality at unprecedented speed. What You'll Own Strategic Model Portfolio - Own the models roadmap: decide which frontier and open-source

Director, Enterprise Machine Learning & Research San Francisco, CA; New York, NY The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do - Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). - Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. - Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. - Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. - Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. - Stay deeply connected to the research community, understanding major trends, and helping set them. - Thrive

AI Builder Intern San Francisco, CA; New York, NY ABOUT THE ROLE This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll spend it building - shipping AI-powered tools, automating workflows, and deploying agentic systems that real teams at Scale AI use every day. Embedded in the Data & Technology org, you'll work directly alongside engineers, data scientists, and ops leads on live automation initiatives. If you have strong instincts for what AI can do today, a bias for building over theorizing, and a fluency in modern LLM tooling - this role is for you. ──────────────────────────────────────── WHAT YOU'LL BUILD Agentic Workflows & Automation → Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain, LangGraph, CrewAI, or similar) → Build API-connected automations that tie together internal tools - Slack, Salesforce, Notion, and internal data systems → Prototype and iterate fast; build things that work, then make them better AI Tooling & Internal Products → Develop lightweight internal tools and dashboards that surface AI outputs to business teams → Vibe-code functional UIs - React, plain JS, or whatever gets to working fastest - for internal adoption → Identify friction points in current workflows and propose AI-first replacements Measurement & Signal → Instrument your own work - capture usage signals, time-saved estimates, and adoption metrics from day one → Contribute to the org's ROI measurement framework by tagging your projects to defined value categories ──────────────────────────────────────── A NOTE ON "VIBE CODING" We're not precious about

Senior Software Engineer, Agentic Infrastructure San Francisco, CA, San Francisco, California, United States About Handshake Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family & peers can see & feel - Work hand-in-hand with world-class AI labs, Fortune 500 partners & the world's top educational institutions - Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, & Palantir, among others - Build a massive, fast-growing business with billions in revenue The Role Handshake is building the infrastructure layer that powers the next generation of AI agents across our platform. As a Senior Software Engineer on our Agentic Infrastructure team, you'll be at forefront of AI at Handshake, will architect & build the foundational systems that allow AI agents to plan, execute, & operate autonomously at scale. This is a rare greenfield opportunity to define how an AI-first company builds for the agentic era - at the intersection of infrastructure, AI, & direct product impact. - Architect & build the core agent orchestration layer - including tool

Machine Learning Engineer (Semantic Scene Understanding) Paris, Île-de-France, France About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Machine Learning Engineer to join our Semantic Scene Understanding team in Paris. In this role, you will design the core algorithms to extract semantic information in real-time from the theatre of operations as seen through the different cameras of our different UAVs, to improve the operator's scene understanding. Responsibilities - Design and Train: Develop state-of-the-art machine learning algorithms for semantic segmentation, object detection, and classification tailored to aerial imagery. - Advanced Feature Extraction: Build high-level tactical features on top of base semantic data, such as real-time road vectorization, trafficability analysis, and dynamic obstacle mapping. - Multi-Agent Fusion: Architect pipelines that temporally and spatially align semantic data from multiple moving UAVs into a cohesive Common Operational Picture (COP). - Edge Optimization: Optimize and deploy these algorithms directly into our tactical C2 platform, utilizing quantization, pruning, and hardware acceleration to meet strict real-time compute constraints. Candidate Requirements - Educational Background: MSc

Sr. AI Deployment Manager Remote-US About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us Lead enterprise-scale transformation by helping customers operationalize AI at scale. This role offers the opportunity to shape implementation standards for high-performance delivery. We are seeking a Senior AI Deployment Manager to lead complex, enterprise-scale deployments of Observe.AI's platform, driving strategic onboarding, advanced use-case design, and large-scale adoption. In this role, you will own high-impact implementation programs-facilitating executive-level design workshops, translating business strategy into scalable AI use cases, and leading sophisticated deployments that enable customers to operationalize AI across their contact center environments. You will serve as a senior delivery leader, partnering with stakeholders from sales handoff through Customer Success transition, while working cross-functionally with Integrations, Product, Engineering, Sales, and Customer Success. As

Staff Infrastructure Software Engineer, Enterprise AI New York, NY; San Francisco, CA Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff 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. What You'll Do: - Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers. - Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement. - Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. - Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. - Collaborate with platform and product teams

Strategic Projects Lead, Generative AI San Francisco, CA; New York, NY Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: - Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) - Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives - Own the execution of our data labeling operations for strategic projects - Give regular progress updates to Scale's executive team - Work on some of the most impactful problems at the company Ideally, you'd have: - Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). - 2+ years of experience leading a team, developing product or operational processes, or as a SWE. - Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). - Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base

System Validation Engineering Director Vancouver, British Columbia, Canada Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Astera Labs is seeking an exceptional Director of System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs' fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments. Job Description - Seeking a strong technical leader who has delivered multiple SoC products. - Lead and scale the system validation organization for Astera Labs'

AI Training Specialist Remote AI Training Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Training Experts to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay upto of $25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. If that sounds like something that matches your skills, please complete our registration via this link. What you'll bring AI Training task skills and verifiable professional experience as an AI Trainer A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from

Senior Director System Validation Engineer San Jose, CA Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Astera Labs is seeking an exceptional Senior Director System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs' fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments. Job Description - Seeking a strong technical leader who has delivered multiple SoC products. - Lead and scale the system validation organization for Astera Labs'

Member of Technical Staff, Research San Francisco | Hybrid | Remote ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience. What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already

Distinguished Engineer – System & Rack Hardware Architecture United States, Remote Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is at the epicenter of the AI infrastructure revolution, building the intelligent connectivity solutions that power the world's most advanced data centers. As AI workloads scale to unprecedented levels, the demand for purpose-built, rack-scale platforms that seamlessly integrate high-speed connectivity, firmware intelligence, and composable architectures has never been greater - and neither has the opportunity to shape what comes next. The AI Platform Solutions Group is seeking a Distinguished Engineer to serve as the technical visionary for next-generation AI infrastructure, spanning server firmware, high-speed connectivity, and rack-scale system design. In this role, you will define the end-to-end architecture for AI platforms that integrate cutting-edge technologies such as PCIe Gen5/6, UAlink, CXL, composable rack architectures, and advanced interconnect solutions including Astera Labs' portfolio of retimers, switches, and fabric controllers. This is a high-impact, high-visibility role where you will drive innovation across silicon integration,

Product Manager, Data Engine San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC The Mission Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers. We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won't just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI. This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You'll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing. You will: - Architect the AI Engine: Drive

Distinguished Engineer – Server Firmware & System Architecture United States, Remote Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Role Overview Astera Labs is at the epicenter of the AI infrastructure revolution, building the intelligent connectivity solutions that power the world's most advanced data centers. As AI workloads scale to unprecedented levels, the demand for purpose-built, rack-scale platforms that seamlessly integrate high-speed connectivity, firmware intelligence, and composable architectures has never been greater - and neither has the opportunity to shape what comes next. The AI Platform Solutions Group is seeking a Distinguished Engineer to serve as the technical visionary for next-generation AI infrastructure, spanning server firmware, high-speed connectivity, and rack-scale system design. In this role, you will define the end-to-end architecture for AI platforms that integrate cutting-edge technologies such as PCIe Gen5/6, composable rack architectures, and advanced interconnect solutions including Astera Labs' portfolio of retimers, switches, and fabric controllers. This is a high-impact, high-visibility role where you will drive innovation across silicon integration, platform firmware,

AI Trainer – Visual & Graphic Design Expert Remote AI Training Experts About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We are seeking Professional Graphic and Visual Designers to act as Domain Experts for a high-level AI evaluation project for $30p/h. AI models are evolving beyond simple image generation and now tackle complex design tasks such as layout, typography, and information density. We need experts who can see beyond "pretty pictures" to judge the professional utility, readability, and structural integrity of design outputs. This is a flexible, ad hoc project where your professional eye directly influences how AI understands design principles. What you'll bring Professional design credentials: You must have a formal education in Graphic/Visual Design plus at least 1 year of professional experience OR 5+ years of high-level experience working with professional clients. Technical literacy: You must be familiar with the industry-standard stack (Figma, Adobe Photoshop, Adobe Illustrator). While you won't be designing these tools for this task, you must be comfortable with the concepts and terminology associated with them. A critical eye: You can distinguish between "consumer-grade" and "enterprise-ready" content, ensuring outputs are professional and highly readable. Portfolio: A valid link to your portfolio or work samples is required during the screening process.

Research Advisor - Human Frontier Collective (US) United States About the Program The Human Frontier Collective (HFC) brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Research Advisor, you'll apply your academic and professional expertise to help develop strategy, design, evaluate, and interpret advanced generative AI systems - while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Senior Advisory & Model Governance: Provide elite-level consultancy and leadership on model behavior and domain-specific logic, establishing the benchmarks for professional integrity. - High-Impact Research Collaboration: Influence the technical roadmap by partnering across Scale AI's product, research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation. - Executive Client Engagement: Represent Scale AI and the HFC as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences, - Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry. - Publications: Collaborate with Scale's research team to co-author technical reports and research papers, boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). - HFC Community: Become a foundational member of HFC; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier

Research Advisor - Human Frontier Collective (UK) United Kingdom About the Program The Human Frontier Collective (HFC) brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Research Advisor, you'll apply your academic and professional expertise to help develop strategy, design, evaluate, and interpret advanced generative AI systems - while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Senior Advisory & Model Governance: Provide elite-level consultancy and leadership on model behavior and domain-specific logic, establishing the benchmarks for professional integrity. - High-Impact Research Collaboration: Influence the technical roadmap by partnering across Scale AI's product, research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation. - Executive Client Engagement: Represent Scale AI and the HFC as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences, - Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry. - Publications: Collaborate with Scale's research team to co-author technical reports and research papers, boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). - HFC Community: Become a foundational member of HFC; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier

Director, Forward Deployed Engineering London, UK Director, Forward Deployed Engineering At Scale AI, we're not just building AI tools-we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents-owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time. This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will - Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers-scoping engagements, sequencing

Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale! We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. Agentic AI is an emerging area for our team-prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research! Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition). Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products. Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform. Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement. Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics. Driving innovation by identifying opportunities to incorporate advanced

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

AI Trainer - Advanced Video and Image Annotation (US & Canada) Remote AI Trainer - Advanced Video and Image Annotation About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Video and Image Annotators to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay upto of $25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Video and Image annotation skills and verifiable professional experience as an annotator A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our