Applied AI Engineer - Internal at Matter Intelligence | San Francisco

About Extend:Extend is transforming the post-purchase experience for retailers and their customers by delivering AI-powered solutions that enhance customer satisfaction and drive revenue growth. Our all-inclusive platform provides automated customer service, seamless returns and exchange management, comprehensive automated fulfillment, and product and shipping protection, alongside Extend's state-of-the-art fraud detection. By merging cutting-edge technology with outstanding customer service, Extend enables businesses to cultivate trust and loyalty among consumers while minimizing costs and maximizing profits.With over 1,000 leading merchant partners in various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, and sports and fitness, Extend is backed by renowned technology investors. Our headquarters is located in the heart of San Francisco.About The RoleThe Fraud Intelligence team is pivotal to Extend’s post-purchase protection platform. We create innovative analytics engines that leverage signals and transactions from millions of users to identify and prevent fraud, foster smarter decisions, and unlock business value.We thrive on discovering insightful patterns in complex data to thwart fraud effectively. In this role, you will have the chance to develop new fraud prevention product features and analytics capabilities from the ground up, collaborating cross-functionally to devise go-to-market strategies based on your analyses.If you are passionate about data, driven by impact, and eager to solve intricate challenges in the realm of analytics and fraud prevention, you will excel in our team. This is a high-ownership role where your contributions will directly safeguard retailers, enhance customer trust, and boost the company’s financial performance!What You’ll Be DoingAnalyze large-scale behavioral, transactional, and interaction data to identify signals indicative of fraud and abuse.Utilize your strong business acumen to quickly pinpoint actionable insights, analyze fraud patterns, and validate hypotheses.Influence business cases and pricing strategies, contributing to proof-of-concept initiatives with prospective merchants.Respond promptly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.Work closely with leadership, go-to-market, fraud operations, product, and engineering teams to implement strategies effectively.

SentiLink is at the forefront of identity verification and risk management solutions, providing individuals and institutions with the tools they need to transact securely and confidently. Our mission is to revolutionize the identity verification landscape in the U.S. by offering solutions that are ten times faster, smarter, and more precise than traditional methods.Experiencing rapid growth, our real-time APIs have successfully verified hundreds of millions of identities, initially in financial services and now branching into various new sectors. We are backed by prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our efforts have been recognized by leading media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider, and we are proud to be included in the Forbes Fintech 50 list since 2023. We made history as the first company to launch the eCBSV and have presented our insights before the United States House of Representatives.At SentiLink, we embrace flexibility in the workplace, offering options from fully remote positions to in-office opportunities. Our digital-first culture fosters collaboration across teams based in the U.S. and India, with physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram, and Bengaluru. If you are near one of our offices, we encourage you to engage with your colleagues in person regularly, as some roles are designed to be hybrid or in-office, such as our engineering team based in Gurugram.Role OverviewAs a Fraud Intelligence Analyst on the Fraud Intelligence Team (FIT), you will be pivotal in how SentiLink identifies and mitigates fraud in our production environment.This position is tailored for ambitious individuals eager to gain comprehensive insights into fraud dynamics, product development, and the operational aspects of a fraud prevention company. The role demands a high pace of work, wide-ranging exposure, and proactive engagement to fast-track your professional growth.The FIT team operates at the crossroads of fraud investigation, product innovation, and revenue generation. Your contributions will directly influence the evolution of our fraud models and how we communicate fraud-related challenges to our clients.

About Extend:At Extend, we are transforming the post-purchase landscape for retailers and their customers through innovative AI solutions that enhance customer satisfaction while driving revenue growth. Our robust platform provides automated customer service, seamless returns and exchanges, comprehensive fulfillment solutions, and top-tier product and shipping protection, all complemented by our industry-leading fraud detection capabilities. By merging cutting-edge technology with exceptional customer service, Extend enables businesses to foster trust and loyalty, reduce operational costs, and boost profitability.Currently, Extend collaborates with over 1,000 esteemed merchant partners across various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, and fitness. Supported by some of the most influential technology investors in the field, our headquarters are located in the heart of San Francisco.About the Role:The Fraud Intelligence team is pivotal to Extend's post-purchase protection strategy. We develop advanced analytics engines utilizing signals and transactions from hundreds of millions of users to identify and prevent fraud, enhance decision-making, and unlock business potential.Our passion lies in revealing intricate patterns within complex data to thwart malicious activities and prevent fraud. In this role, you will have the chance to design new fraud prevention features and analytical capabilities from inception. Collaborating cross-functionally, you will formulate go-to-market strategies grounded in your analysis.If you possess a passion for data, are driven by impact, and are eager to solve intricate challenges at the intersection of analytics and fraud prevention, our team will be a perfect fit for you. This is a high-responsibility role where your contributions will directly safeguard retailers, bolster customer trust, and enhance the company's profitability!

Airbnb, Inc. has changed how people travel since 2007, connecting guests with hosts in nearly every country. With over 5 million hosts and more than 2 billion guest arrivals, the company’s marketplace centers on authentic stays and community experiences. About the Fraud and Safety Operations Team This trusted team protects Airbnb’s hosts, guests, and platform integrity. Fraud intelligence, data analytics, and platform protection are core to their mission. Team members work closely with Data Science, Product, Global Operations, Safety, Legal, and Community Policy to address new and evolving threats. Role Overview: Manager of Fraud Intelligence The Manager of Fraud Intelligence leads efforts to identify and stop emerging fraud and abuse tactics. This role shapes proactive fraud strategies, disrupts upstream risks, and builds systemic defenses. The work directly reduces fraud losses and strengthens Airbnb’s ability to anticipate risk. What You Will Do Mentor and Lead: Guide a specialized team in analyzing large-scale fraud signals. Translate complex data into actionable controls, rules, and policies that limit the impact of bad actors. Data Analysis: Use SQL and Python to study fraud trends. Apply visualization tools to support data-driven decisions. Cross-Functional Collaboration: Partner with teams across the company to design and launch effective fraud countermeasures and automated defenses. Reporting: Prepare and deliver detailed investigative reports and fraud intelligence summaries for leadership and cross-functional partners. Use Slides and data visualization tools to communicate findings. Incident Response: Lead the response to critical incidents, maintaining platform integrity and community safety during major events or new threat escalations. Continuous Improvement: Identify and implement opportunities to automate and enhance fraud detection systems. Location United States

About FaireFaire is an innovative online wholesale marketplace that champions local businesses. We believe in empowering independent retailers worldwide, who collectively generate more revenue than retail giants like Walmart and Amazon. By leveraging advanced technology, data analytics, and machine learning, we connect these vibrant entrepreneurs with the best products globally. Our mission is to provide the necessary tools and insights to level the playing field, enabling small businesses to thrive against large corporations.By nurturing the growth of independent businesses, Faire is making a positive economic impact in communities around the world. We are searching for intelligent, resourceful, and passionate individuals to join us in advancing the shop local movement. If you share our belief in community, we invite you to become part of ours.About this RoleWe are seeking a seasoned Fraud Analyst dedicated to safeguarding the integrity of our brand and retail partners. In this role, you will identify fraud risks, enhance detection mechanisms, and fortify our fraud and abuse prevention programs.As a key member of the Risk organization’s Fraud & Abuse team, you will work closely with functional experts and cross-functional teams to execute proactive fraud mitigation strategies. Your hands-on experience with fraud data, investigations, and operational processes will contribute to continuous improvement in our systems and outcomes.This position is perfect for someone eager to make a significant impact as an individual contributor in the Fraud & Abuse arena, where you will take ownership of specific projects with considerable autonomy while deepening your expertise in fraud and risk management.What You’ll DoCollaborate with senior team members and leadership to implement and refine fraud and abuse strategies, adapting to emerging risks.Oversee and enhance moderate levels of fraud investigations and escalations, applying sound judgment to balance risk, customer experience, and operational consistency.Identify weaknesses in current policies, products, or processes, and assist in defining and implementing mitigation strategies, taking ownership of specific aspects of the work.Work collaboratively with teams including Data Science, Engineering, and Product to foster a culture of security and trust.

About Our TeamThe Account & Platform Integrity team at OpenAI is dedicated to maintaining the integrity of our ecosystem by combating fraud, impersonation, abuse, and various account-level threats. Our mission is to verify that individuals and organizations engaging with OpenAI are legitimate, ensuring appropriate access and preventing misuse of the platform.Collaborating closely with Product, Engineering, Legal, Go-To-Market, and Support teams, we work at the critical intersection of identity verification, compliance, and abuse prevention. Our proactive measures safeguard user trust, protect revenue, and ensure the safety of our platforms, including ChatGPT, the API, and enterprise solutions.About the RoleWe are seeking a detail-oriented Fraud & Risk Analyst to enhance OpenAI’s security measures by investigating, validating, and monitoring customer accounts and organizations. Your focus will be on identity verification, legitimacy assessment, and risk management, ensuring accounts are accurately verified and emerging threats are swiftly identified.In this pivotal role, you will conduct sensitive investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your contributions will play a crucial role in determining who can utilize OpenAI’s products and ensuring our ability to scale safely.Please note: This position may involve reviewing sensitive or confidential content.This position follows a hybrid work model, requiring 3 days in our San Francisco office each week.Key ResponsibilitiesConduct thorough reviews and verifications of customer identities, organizations, and ownership structures.Investigate accounts flagged as suspicious or high-risk, including cases of fraud, impersonation, shell companies, and abuse of API or ChatGPT access.Analyze documents, internal data, and third-party resources to assess legitimacy and risk levels.Implement account-level actions such as approvals, restrictions, suspensions, or escalations as needed.Act as the primary case owner for complex, high-visibility verification and integrity-related cases.Collaborate with Legal, Compliance, Sales, and Support teams to resolve issues efficiently and accurately.Manage escalations, appeals, and sensitive communications with customers.Assist in designing and enhancing verification processes, fraud detection mechanisms, and risk-scoring systems.Contribute to the development of automation, tooling, and technology improvements to bolster risk management.

Join Anthropic as a Safeguards Policy Analyst focusing on Fraud & Scams. In this pivotal role, you will analyze, develop, and implement policies that protect users from fraudulent activities. Collaborate with cross-functional teams to ensure our systems and processes are secure and user-friendly. Your insights will guide our efforts to mitigate risks and enhance user experience.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are on a mission to ignite human curiosity. Our products—Everand, Scribd, Slideshare, and Fable—foster a world filled with stories and knowledge, democratizing the flow of ideas and empowering collective expertise.We are committed to maintaining a culture where our employees can be authentic and courageous; where we engage in constructive debates and remain committed to our decisions as we navigate the twists and turns of our journey. Every member of our team is encouraged to take initiative as we place our customers at the forefront of everything we do.At Scribd, we believe in striking a balance between personal flexibility and community engagement. Through our flexible work initiative, Scribd Flex, employees, in collaboration with their managers, can choose a work style that best meets their individual needs. This initiative emphasizes intentional in-person interactions to foster collaboration, culture, and connection, necessitating occasional attendance in the office for all Scribd employees, irrespective of their work location.What do we seek in our new team members? We hire for “GRIT.” This concept embodies the fusion of passion and perseverance towards long-term objectives. At Scribd, we recognize the potential that GRIT can unlock, and we expect our employees to embrace a GRIT-driven approach to their work. In practical terms, GRIT stands for the ability to set and achieve Goals, deliver Results, contribute Innovative ideas, and positively impact the broader Team through collaboration and a constructive attitude.About the Role and Team:The Risk Operations team is pivotal in safeguarding the business by managing payments and fraud risks, aimed at reducing costs while enhancing overall customer and business value. As a Risk Operations Analyst II, Payments & Fraud, you will play an essential role in cultivating a world-class, cross-functional payments team. Your responsibilities will extend beyond reactive risk management to proactive strategies that enhance business outcomes. This position will entail collaborating with various teams to foster clarity and integrate risk considerations into the growth and scaling strategies of Scribd.

Join Mindlance as a Cyber Intelligence Security Analyst and be at the forefront of safeguarding our digital assets. In this role, you will leverage your analytical skills to monitor, assess, and mitigate security threats while collaborating with cross-functional teams to enhance our cyber defense strategies. This position offers a unique opportunity to contribute to the security posture of a leading organization in a dynamic environment.

About FaireFaire is a dynamic online wholesale marketplace founded on the principle that the future is local. Independent retailers worldwide generate more revenue combined than giants like Walmart and Amazon, yet they remain small in comparison. At Faire, we harness technology, data, and machine learning to connect a vibrant community of entrepreneurs globally. Think of your favorite local boutique; we empower them to find and sell the best products from around the globe. With the right tools and insights, we aim to level the playing field, enabling small businesses to compete with large retail and e-commerce brands.By championing the growth of independent businesses, Faire fosters positive economic impacts in local communities globally. We are seeking intelligent, resourceful, and passionate individuals to join us in driving the local shopping movement. If you share our belief in community, we invite you to become a part of ours.About this roleWe are in search of a talented Senior Business Intelligence Analyst to enhance a vital function dedicated to developing and overseeing systems, processes, and services that help us analyze financial performance and derive essential business insights at Faire. The ideal candidate will automate key accounting procedures in an accurate, efficient, user-friendly, and scalable manner. This role resides within the Finance department and will collaborate with team members across various functional groups at Faire, including Accounting, Finance & Strategy, Engineering, and Data Infrastructure. Your contributions will significantly enhance Faire employees' ability to leverage data effectively for external reporting and informed internal decision-making. As an early member of our growing team, you will have the opportunity to shape the roadmap for improving access to critical business data and automating processes that enhance operational impact.

The Senior Cyber Threat Intelligence Analyst is integral to the daily functions of our client's cyber threat intelligence team. Collaborating closely with the Team Lead, this role emphasizes the triage of cyber events, proactive threat hunting, and the enhancement of the Security Operations Center (SOC) technology stack. This is a hands-on opportunity for a cybersecurity enthusiast eager to develop leadership skills while directly aiding in the identification and mitigation of cyber threats.Respond to and manage security alerts and incidents in real-time.Conduct thorough analyses of logs, network traffic, and endpoint data to uncover malicious behavior.Provide clear recommendations and escalate critical incidents to the Team Lead and relevant stakeholders.Engage in proactive threat hunting to uncover anomalies, suspicious activities, and sophisticated threats.Contribute to the development of playbooks and use cases addressing emerging attack methodologies.Assist in optimizing and fine-tuning tools such as SIEM, SOAR, and EDR platforms.Create detection rules, automation scripts, and dashboards to boost team productivity.Collaborate on evaluating new technologies and potential integrations.

Join Cardless Inc. as a Fraud Strategy Manager or Senior Manager specializing in Transaction Fraud. In this pivotal role, you will lead the development and implementation of innovative fraud prevention strategies to safeguard our customers and minimize risk. You will work closely with cross-functional teams to analyze data trends and enhance our fraud detection capabilities.Your expertise will drive initiatives that not only protect our assets but also enhance customer trust in our services. If you are passionate about leveraging data to combat fraud and are ready to take on a leadership role in a dynamic environment, we want to hear from you!

Join Cardless, Inc. as the Director of Fraud Operations, where you will lead our efforts to combat fraud and protect our customers. In this pivotal role, you will develop and implement strategies to detect and prevent fraudulent activities while ensuring a seamless user experience. Your expertise will guide a dedicated team in enhancing operational efficiency and maintaining the integrity of our services.

Mercury is hiring a Manager - Account Fraud Enablement to help protect clients from fraudulent activity. This role shapes how the company detects and prevents account fraud, supporting a secure banking experience for users. Role overview The Manager - Account Fraud Enablement develops and refines strategies to identify and stop fraudulent behavior. This includes designing systems for fraud detection, analyzing data for emerging trends, and working with teams across the company to strengthen fraud prevention efforts. Key responsibilities Create and implement methods to detect and prevent account fraud Analyze data to spot patterns and potential risks Collaborate with teams throughout Mercury to improve fraud prevention tools and processes Location This position is open to candidates in San Francisco, New York, Portland, or remote within Canada or the United States.

About Extend:Extend is transforming the post-purchase landscape for retailers and their customers by delivering AI-driven solutions that boost customer satisfaction and stimulate revenue growth. Our all-inclusive platform automates customer service, streamlines returns and exchanges, manages fulfillment end-to-end, and ensures product and shipping protection, all while providing top-tier fraud detection services. By combining cutting-edge technology with outstanding customer service, Extend enables businesses to foster trust and loyalty among consumers, while cutting costs and amplifying profits.Currently, Extend collaborates with over 1,000 prominent merchant partners across various sectors such as fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and beyond. Backed by leading technology investors, our headquarters is located in the vibrant heart of San Francisco.About the Role:This is a Full-Time Evening position requiring availability Monday through Friday from 2:00 PM to 11:00 PM Pacific Time. While this is a remote role within the US, we cannot accept applications from residents of California. You do not need to reside in the Pacific Time zone to apply; however, the working hours will remain as stated (2:00 PM - 11:00 PM PT). Candidates who are not available to work Monday through Friday evenings from 2 PM - 11 PM PT need not apply.As a Fraud Operations Specialist, you will join a dynamic Fraud Operations team, engaging in regular fraud investigations to identify fraudulent activities and enhance the experience for genuine customers. Your investigations will help detect trends in fraud and abuse, uncovering new avenues to positively influence Extend’s internal processes. This role necessitates direct experience in fraud and abuse operations (preferably in an eCommerce context), a strong grasp of fraud concepts, excellent communication skills to collaborate with cross-functional stakeholders, and proficiency in spreadsheet and data processing software.What You Will Be Doing:Real-Time Claim Review: Analyze claims in real-time for potential fraud or abuse cases, utilizing your information-gathering and communication abilities to ensure adequate evidence for fraud determinations, while providing insightful feedback for Extend’s risk models.Risk Score Judgments: Assess customer behaviors to determine risk scores and contribute to the refinement of risk assessment models.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. To date, the Waymo Driver has successfully completed over ten million rides, driven more than 100 million miles autonomously on public roads, and conducted tens of billions of miles in simulation across more than 15 U.S. states.As part of our mission, Waymo's Data Science team plays a crucial role in ensuring the safety and reliability of our autonomous driving technologies. By utilizing data analysis and statistical methods, we evaluate and enhance the Waymo Driver, concentrating on critical aspects such as reliability, driving quality, and safety. As a Business Intelligence Analyst, you will contribute to the development of a robust data infrastructure that supports key reporting and analytics for our Data Science team.

Extend seeks a Fraud Operations Specialist I to join its remote US team. This position plays a key role in protecting both merchants and customers by investigating potential fraud and supporting a secure transaction environment. The work centers on analyzing data, identifying suspicious patterns, and helping refine risk management processes. What you will do Review claims in real time: Assess incoming claims for signs of fraud or abuse. Collect relevant information, communicate findings, and offer insights that help improve risk models. Make risk score judgments: Analyze customer behavior and incidents using various data sources. Begin with evaluating risk scores and progress to recommending claim approvals or denials based on your assessments. Lead fraud investigations: Conduct thorough investigations and share updates on emerging fraud and abuse trends with the team. Follow procedures: Manage each investigation from start to finish, adhere to all regulatory and departmental guidelines, base decisions on evidence, and report any discrepancies you encounter. Requirements Experience in fraud operations, preferably within eCommerce Strong communication skills Comfort with spreadsheets and data analysis tools Extend supports more than 1,000 merchant partners across industries like fashion, electronics, furniture, and more. The company combines advanced technology and attentive support to help partners manage post-purchase needs, including fraud detection. This role is fully remote within the United States.

OpenGov is looking for a Senior Analyst, Applied AI (G&A Intelligence) to join the Applied AI/Innovation team. This position centers on supporting General and Administrative (G&A) functions, especially HR, Talent Acquisition, and Enablement, by applying AI and workflow automation to real business challenges. Role overview This role focuses on identifying, prioritizing, and developing AI-powered workflows, tools, and copilots. The goal is to reduce manual effort, improve decision-making, and free up time for work that requires human judgment. The Senior Analyst will work closely with partner teams to understand their processes and find opportunities for AI-driven improvements. Day-to-day, the work involves managing the full lifecycle from problem identification to solution delivery, often collaborating with AI and data engineers as needed. What you will do Analyze complex, often unstructured data and manual workflows in G&A teams Design and implement AI-enhanced solutions using tools like Claude, ChatGPT, and no-code or low-code automation platforms Prioritize projects that have the highest impact on efficiency and decision quality Operate within the Applied AI team’s technical and governance framework Handle sensitive HR data with a high standard of confidentiality and compliance Requirements Strong analytical and problem-solving skills Process-oriented approach to improving workflows Familiarity with modern AI tools and automation platforms No requirement for production-level coding or deep HR technology experience Sound judgment and understanding of data confidentiality and HR compliance This position offers the chance to help shape the future of government operations by integrating applied AI into core business functions. Learn more about OpenGov’s mission and vision at OpenGov.com.

Embrace the Future of Commerce with Whatnot!Whatnot is revolutionizing live shopping across North America and Europe, offering a vibrant platform to buy, sell, and explore your favorite items. We are redefining e-commerce by seamlessly blending community, shopping, and entertainment into a unique marketplace tailored for you. As a part of a remote co-located team, our innovation-driven culture is firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collectively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek innovative, forward-thinking problem solvers across all areas. Follow our latest updates on our news and engineering blogs and be part of our mission to empower individuals to turn their passions into thriving businesses, while fostering connections through commerce. Role OverviewThe Fraud Experience team is dedicated to building intelligent, real-time systems that protect Whatnot’s marketplace from fraudulent activities. We focus on designing, developing, and deploying end-to-end, machine-learning driven systems that proactively identify and combat fraud, ensuring a transparent, user-centered enforcement approach.Your ResponsibilitiesArchitect and lead the development of comprehensive fraud detection, prevention, and intervention systems, integrating machine learning, backend, and client-side components.Construct intelligent user graphs to analyze behavioral patterns, identify collusion networks, and reveal account connectivity at scale.Design, train, and implement both traditional ML and LLM-powered models to detect fraudulent behavior across user interactions, payments, and marketplace activities.Create scalable data pipelines and real-time inference systems able to handle high-volume, low-latency machine learning tasks.Develop human-in-the-loop systems that continually enhance detection accuracy and adapt to evolving adversarial strategies.Conduct in-depth behavioral and adversarial data analysis to identify emerging fraud trends and drive continuous improvement.