Solve Intelligence jobs

Forward Deployed Engineer V, GenAI, Google Cloud Singapore As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. This role is designed for high-agency engineers with a founder's mindset. You will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment and acting as a critical feedback loop for Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll grow by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Lead the "Discovery-to-Deployment" journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and MCP servers) that drive measurable

Senior Manager, AI Inference Boston posted: Posted 24 Days Ago

AI Tutor - Norwegian Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

AIML - Machine Learning Engineer, MIND Seattle, United States of America As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation Minimum Qualifications: Proficient in Python and deep learning frameworks like PyTorch. Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent

Threat Intelligence Lead Washington, DC Metro Area KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. The Threat Researcher Lead works in the KnowBe4 Threat Research Lab, and is responsible for leading teams to understand the cyber threat landscape in order to enable KnowBe4's capabilities across business functions. This involves researching criminal TTP's and ensuring KnowBe4's solutions are effective in mitigating these threats. Additionally using this intelligence to further all business goals. Responsibilities: - Lead a team of researchers to deliver on research projects and unlock additional revenue for the business, through providing cyber expertise. - Independently and competently analysing trends and patterns in large data-sets to establish threat trends across regions, industries and business segment sizes. - Have a passion for cyber security and thrive on solving difficult and complex problems. - Have a genuine interest in mitigating phishing attacks and be knowledgeable with recent vulnerabilities in our space. - Experienced in investigating phishing emails and malware analysis (Configuration of isolated Malware Analysis VM, Identification of File

Events Marketing Manager, EMEA/META Remote (UK Based) Company Background Censys' mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry's most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. Censys' mission is to bring internet visibility and intelligence to the world's security teams. Our platform not only identifies potential threats, but provides actionable insights and enables proactive defense strategies. Founded by researchers and practitioners, we are deeply committed to the quality, trustworthiness, and transparency of our data and results. As our own strongest critics, we continuously innovate to better understand the Internet and empower our customers with the visibility they need to succeed. Role Summary: As an Events Marketing Manager on the EMEA team at Censys, you will play a pivotal role in supporting our demand generation and event efforts. We are seeking an individual with an entrepreneurial mindset, strong internal drive, and the ability to balance strategic thinking with hands-on execution. You will be passionate about problem-solving, possess excellent organizational skills, and thrive on cross-departmental collaboration to create successful marketing campaigns. In this role, you'll own the full lifecycle of targeted marketing activities, from strategy and rigorous budgeting to flawless execution and detailed post-campaign analysis. If you are a collaborative pipeline-builder with a genuine knack for

AI Platform Engineer, Infrastructure San Francisco Bay Area, San Francisco, California, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. What You'll Work On: - Design and scale Kubernetes- and Terraform-based infrastructure across customer environments. - Define standards for networking, security, CI/CD, and multi-region deployments. - Build and maintain metrics, logging, tracing, dashboards, and SLOs. - Diagnose and improve performance across distributed systems and AI workloads. - Support high-performance inference, data pipelines, and large-scale backend services.

US Enterprise Data & Analytics Lead, Sales Operations (AI-Enabled) Austin, United States of America Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making. As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations-requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges. You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools-ensuring sales teams have access to accurate, timely, and actionable

Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI San Francisco, CA; New York, NY Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: - Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. - Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. - Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance,

Reverse Engineer Fredericksburg, VA, US Basic Qualifications Education Requirements: Requires a Bachelor's degree in Engineering, or a related Science, Technology or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience. Clearance Requirements: Department of Defense Top Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position Imagine a world-class engineering environment. Now add a team of exceptional talent along with technologies that are so advanced they're often classified. That's what you'll find at General Dynamics Mission Systems. Here you'll lead amazing engineers as they invent the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. If you want the chance to lead, it's time to bring your talent to General Dynamics Mission Systems.We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers' missions in cyber, RF, undersea, interstellar and everything in between. In this role as a Reverse Engineer with the Intelligence Systems, you'll work directly with customers to set priorities and run regression tests

AI Engineer Seattle (WA) posted:

Trust and Safety Intelligence Analyst, Fraud and System Abuse Washington D.C., DC, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will sit at the center of Google's trust and safety intelligence work, owning the strategic risk picture for how bad actors manipulate LLMs and exploit Google's products to deceive and financially harm users. You'll synthesize signal from across the company into a coherent view of where both threat landscapes stand today and where they're heading. You will convert disparate inputs into clear, decision-ready intelligence that shapes policy, enforcement, detection, and model evaluations. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across

Senior AI Solutions Engineer Reston, Virginia, United States About the Opportunity: We are looking for talented AI Solutions Engineers to join our team and deliver generative and predictive capabilities for US Government customers. The right candidate will work on developing and deploying AI/ML capabilities for various applications, implementing generative AI and integrating with predictive capabilities (agentic workflows, LLM fine-tuning). Additionally, this person will be working on quick proof-of-concept solutions, but also building in a generalized fashion to support longer-term implementation. From your first day, you will make a valuable contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a meaningful impact for the US while designing and developing cutting-edge, novel capabilities. Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred. Duties and Responsibilities: - Design, implement, and deploy AI Solutions for USG customers - Design and develop prototype solutions incorporating both generative and predictive capabilities - Innovate creative solutions, integrating generative and predictive capabilities to answer unique customer challenges - Design and develop interfaces and applications for customer utilization of AI solutions - Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language - Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements - Research and development on cutting-edge applications of generative AI and agentic capabilities Qualifications and Skills: - Undergraduate degree in a technical field with a strong background

Director, Enterprise Architecture & Intelligent Automation Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Director, Enterprise Architecture and AI Intelligent Automation (IA), you will define and govern how GitLab's internal systems connect, integrate, and evolve to support our rapidly scaling business. Reporting to

Mathematics Specialist (Fluent in Korean) - Freelance AI Trainer Project World Wide - Remote Are you a mathematics expert fluent in Korean, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to‑$65 per

Senior AI Machine Learning Scientist 3 Locations posted: Posted Yesterday

Machine Learning Engineer São Paulo About the Role At CloudWalk, our Security team doesn't just react to threats; we engineer systems that anticipate and neutralize them before they ever reach our infrastructure. We are looking for a Machine Learning Engineer to build the intelligence layer of our edge defenses. You won't just be tuning standard WAF rules or analyzing logs after the fact. You will design, train, and deploy machine learning models directly at the edge to detect anomalies, thwart intrusions, and block sophisticated attacks in real time. You will bridge the gap between security intelligence and massive-scale data science, turning raw network traffic into a proactive defense mechanism. You'll work alongside red teamers and security engineers, using their attack data to train models that make those exact attack classes obsolete. If you enjoy solving hard scaling problems, weaponizing AI for defense, and protecting billions of transactions, this role is for you. About the Role At CloudWalk, our Security team doesn't just react to threats; we engineer systems that anticipate and neutralize them before they ever reach our infrastructure. We are looking for a Machine Learning Engineer to build the intelligence layer of our edge defenses. You won't just be tuning standard WAF rules or analyzing logs after the fact. You will design, train, and deploy machine learning models directly at the edge to detect anomalies, thwart intrusions, and block sophisticated attacks in real time. You will bridge the gap between security intelligence and massive-scale data science, turning raw network

Business Intel Engineer, Multi Channel Fulfillment Seattle, Washington, USA Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions. Key job responsibilities • Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions. • Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports. • Conduct ad hoc data analysis and data quality investigations. • Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools. • Develop and support

Customer Success Manager, U.S. Defense and Intelligence Arlington, VA Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Customer Success Team at Planet is looking for a Customer Success Manager specializing in the Defense and Intelligence sectors. This role will focus primarily on supporting customers within the U.S. Defense and Intelligence communities, helping them derive maximum value from Planet's imagery, platform, and services. We are looking for a geospatial

Artificial Intelligence Engineer Milpitas, CA posted: Posted 7 Days Ago

Production Coordinator, Intelligence Systems Ashville, Ohio, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers' most pressing national security requirements. ABOUT THE JOB We are seeking a Production Coordinator to join our manufacturing team at Anduril who will be responsible for organizing and coordinating all aspects of a production. Here you will work on cutting-edge technology aimed at advancing the state-of-the-possible. The Production Coordinator is responsible for resource planning, documentation, communicating with multiple stakeholders, problem solving and more! If you are someone who is a highly motivated team

Strategic Planning Manager, GenAI, DeepMind (Fixed-Term Contract) Mountain View, CA, USA; +2 more Within the GenAI (Generative AI) Strategy and Operations (StratOps) team, you will be at the forefront of the "Agentic Era." This role focuses on re-engineering core operational processes specifically headcount planning and OpEx management into self-supporting, AI-driven workflows. By developing advanced automation tools, you will optimize resource allocation, eradicate manual inefficiencies, and propel the organization toward its goal objectives. As a Strategic Planning Manager in GenAI, you will be responsible for the strategic planning, allocation, and optimization of financial (OpEx) and human capital (headcount) resources across DeepMind's GenAI unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target Learn more about benefits at Google . Run day-to-day headcount planning, forecasting, and operational processes for the GenAI unit. Maintain a real-time source of truth for headcount grants, asks, and allocations. Design and

AI Research Scientist, Robotics Redmond, WA; Burlingame, CA At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization. Responsibilities: - Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence - Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.) - Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence -

Engineering Analyst Manager, Account Security, Intelligent Defenses Lead Zürich, Switzerland Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The main objective of the Trust and Safety (T&S) Account and Device Intelligence (ADI) team is to prevent damage to Google Users and products through accounts by effectively responding to threats and deploying upstream protections that are scalable and flexible. We rely on defense in-depth when protecting Google accounts. The team is currently divided into 3 subteams: Threats, this team is responsible for the qualitative and quantitative understanding, monitoring, assessment and response to an ever changing threat landscape, and using this to inform Google's strategy countering those threats. Protections team is responsible for policy design and implementation at sign-up/sign-in/reAuth, productionisation of detection models, and quality of challenges, verifications and interventions. Intelligent Defenses team is responsible for building foundational