Software Engineer - Fraud Detection

Join our dynamic team at Mercury as a Staff Software Engineer specializing in Fraud Detection. In this role, you will leverage your engineering expertise to develop innovative solutions that enhance our fraud prevention strategies. Collaborate with cross-functional teams to design and implement scalable systems that protect our users and ensure the integrity of our platform.We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to take on challenges that impact our customers' experience. Your contributions will play a crucial role in shaping the future of financial security.

About CrunchyrollFounded by fans, Crunchyroll is dedicated to delivering the art and culture of anime to a vibrant community. Connecting over 100 million anime and manga enthusiasts across 200+ countries and territories, we create experiences that resonate, whether through online streaming, theatrical releases, games, merchandise, or events. Join us in shaping the future of anime!About the RoleAs a Senior Machine Learning Engineer focusing on Fraud Detection, you will collaborate with the Director of Data Science and Machine Learning within our Center for Data and Insights. This position can be based in either the Los Angeles or San Francisco area.Your expertise will drive the design and implementation of scalable machine learning models aimed at detecting account sharing fraud. Utilizing user behavior data such as geolocation, concurrent sessions, and device profiles, you will work closely with data scientists, product analysts, and data engineers to transform research prototypes into production systems that improve detection accuracy while minimizing user disruption. Your contributions will align with industry best practices, driving subscriber growth in our VOD streaming platform.Core Areas of ResponsibilityDesign and implement machine learning algorithms, including real-time anomaly detection models to identify unauthorized account sharing.Develop comprehensive ML pipelines for data preprocessing, model training, evaluation, and deployment leveraging cloud platforms.Optimize models for performance, scalability, and efficiency to accommodate high-volume streaming data.Integrate machine learning solutions with existing systems via APIs while establishing monitoring for model drift and retraining.Collaborate on A/B testing and iterative improvements to refine algorithms in response to evolving evasion tactics.

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.

About the TeamThe Applied team is dedicated to responsibly introducing OpenAI's groundbreaking technology to the global community. We have launched revolutionary products like ChatGPT, Plugins, DALL·E, and APIs for GPT-5, embeddings, and fine-tuning. Additionally, we manage extensive inference infrastructure to support our rapidly advancing initiatives.Our clients leverage our APIs to create dynamic businesses with innovative product features previously thought impossible. For instance, ChatGPT exemplifies the capabilities our technology currently offers. We prioritize the responsible use of our powerful tools, ensuring that safety remains paramount over unrestricted growth.The Fraud Engineering team operates within the Applied Engineering organization, focusing on identifying and mitigating fraudulent activities on our platform. We are seeking a software engineer with expertise in anti-fraud and abuse systems to help us design and implement next-generation solutions.About the RoleThe Scaled Abuse team safeguards OpenAI’s products and users by detecting, preventing, and addressing fraudulent and abusive activities on a large scale. We develop and maintain backend and data systems that facilitate real-time detection, investigative workflows, and enforcement, ensuring a balance between robust protection and an excellent user experience as our platform evolves.Our work lies at the convergence of engineering and abuse prevention expertise. We collaborate closely with Trust & Safety, Security, and Product teams to identify emerging attack trends, translate complex signals into actionable system behavior, and continuously enhance our defenses. We value engineers who can navigate unfamiliar codebases swiftly, develop a deep understanding of system functionality, and suggest practical improvements to enhance overall resilience.In This Role, You Will:Design and develop systems for fraud detection and remediation, balancing fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent and abusive behaviors on our platform.Stay updated with the latest techniques and tools to remain ahead of determined adversaries.Utilize GPT-5 and future models to enhance our fraud and abuse mitigation efforts.You May Thrive in This Role If You:Possess at least 5 years of software engineering experience, particularly in backend and data systems.

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.

At Discord, we empower over 200 million users each month to connect, communicate, and collaborate in their gaming experiences. With more than 90% of our users engaging in video games, our platform serves as a vital hub for gaming communities. Our mission is to enhance the social aspect of gaming by enabling seamless interactions among players before, during, and after gameplay.Discord is dedicated to fostering a sense of belonging for all users. Our commitment to security and privacy ensures that communications remain safe and confidential, which is essential to our continued success.We are on the lookout for a talented Senior Detection and Response Engineer to join our dynamic Detection & Response Team (DART). Our team is focused on engineering innovative detection systems, automating response processes, and developing tools to proactively combat threats rather than merely responding to them. If you are passionate about security and enjoy transforming investigative insights into robust automated solutions, we would love to hear from you!

Founded in 2007, Airbnb has transformed travel by connecting hosts and guests in over 190 countries. With a community of more than 5 million hosts, we facilitate unique stays and experiences, enabling guests to immerse themselves in local cultures.Join Our Trust-Focused Community:At Airbnb, trust is our top priority, and our dedicated team works tirelessly to ensure a safe and secure platform. As part of the Trust team, you will play a crucial role in safeguarding our community from fraud and ensuring the quality of our hosts, guests, and listings. This involves combating both online threats like account compromise and offline risks such as property damage and personal safety. Your work will help us build and maintain trust within our vibrant community.Make a Significant Impact:In your role within the Trust Engineering team, you will design and implement large-scale systems aimed at detecting and mitigating fraudulent activities across our platform. Collaborating closely with product, data science, and operations teams, you will develop real-time risk detection services that adapt to evolving threats, helping to make Airbnb the safest and most trusted platform in the industry.Your Daily Responsibilities:Design and operate resilient, scalable distributed systems.Enhance platform capabilities to counteract the evolving fraud landscape, collaborating with various engineering teams.Contribute vital insights to the Trust Platform's roadmap and strategic initiatives.

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.

Role Overview Pinterest is hiring a Security Software Engineer II focused on Detection and Response. This role can be based in San Francisco, CA or remote within the US. What You Will Do Develop and refine detection strategies to identify security threats across the Pinterest platform. Implement and improve response protocols to address incidents efficiently. Work closely with teams from different disciplines to spot vulnerabilities and strengthen defenses. Support efforts to reduce incident response times and protect the safety of Pinterest’s user community. Location This position is open to candidates in San Francisco, CA or remote within the United States.

Propel the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, where you can buy, sell, and explore your favorite items. We are revolutionizing e-commerce by merging community, shopping, and entertainment into a unique experience tailored just for you. Our remote co-located team thrives on innovation, deeply rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles, including trading cards, comic books, and even live plants, our live auctions offer something for everyone.As one of the fastest-growing marketplaces, we seek audacious, forward-thinking problem solvers across all functions. Stay updated on the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering community through commerce. Role OverviewArchitect, train, and deploy both traditional machine learning and LLM-powered models for detecting fraudulent activities across user interactions, payment processes, and marketplace transactions.Oversee the complete architecture of fraud detection, prevention, and intervention systems—striking a balance between robust platform security and an intuitive user experience.Develop intelligent user graphs to analyze behavioral patterns, collusion networks, and account interconnections.Construct scalable data pipelines and real-time inference systems designed for high-volume, low-latency machine learning workloads.Perform in-depth behavioral and adversarial data analysis to identify emerging fraud patterns and enhance detection precision.Collaborate cross-functionally with Trust & Safety, Payments, and Infrastructure teams to create feature sets, labeling systems, and model evaluation processes.Establish model monitoring and drift detection frameworks to maintain system reliability and adaptability.Engage in fraud risk orchestration, integrating rules, models, and heuristics for automated decision-making.Define and monitor key performance metrics and dashboards for effective fraud detection and management.

About the RoleOpenAI is seeking a dynamic Engineering Manager to spearhead a team dedicated to creating innovative software systems that proactively detect and mitigate the misuse of cutting-edge AI models. In this pivotal role, you will be at the forefront of building production services, detection pipelines, and preventive mechanisms that safeguard the integrity of our frontier models while minimizing the risk of high-severity misuse.This position is primarily focused on system development; therefore, we are looking for a candidate with a robust software engineering background who is adept at constructing reliable systems capable of scaling to billions of users.Your Responsibilities:Lead a team of skilled software engineers in designing and developing detection and mitigation systems aimed at preventing frontier model misuse, particularly focusing on model intellectual property protection and distillation detection.Establish the technical roadmap and execution strategy: prioritize tasks, design solutions, implement them, iterate based on feedback, and measure impact.Develop scalable production systems: services, pipelines, tooling, instrumentation, and automation that align with the usage of frontier models.Collaborate closely with Research and Product teams to translate evolving model capabilities into actionable tests, signals, and mitigations deployable at scale.Champion strong engineering principles: architecture design, system reliability, performance monitoring, and operational excellence.Recruit and nurture an exceptional team across backend systems, data engineering, and applied machine learning domains.Anticipate potential failures at scale as agentic workflows become increasingly sophisticated.Ideal Candidate Profile:Experience in building systems within adversarial and rapidly changing environments.Comfortable navigating ambiguity and novel situations.Familiarity with security-related domains (e.g., abuse prevention, fraud detection, platform defense, authentication/identity, and managing adversarial environments).Ability to communicate effectively and build trust with senior stakeholders—demonstrating a pragmatic, collaborative approach while remaining composed under scrutiny.Proven track record of leading engineering teams and delivering production systems from inception to deployment.Strong technical acumen in system design, distributed architectures, data pipelines, and operational observability.

Join Cloudflare as a Detection & Mitigation Engineer, where you will play a pivotal role in enhancing our cybersecurity measures. Your expertise will help us identify and neutralize threats before they impact our clients. In this hybrid position, you will collaborate with a talented team to develop innovative solutions that safeguard our network infrastructure.

Role overview Benchling is looking for a Detection and Response Engineer in San Francisco, CA. This role focuses on protecting company systems and applications from security threats. The engineer will use experience in incident response and threat detection to help maintain strong security and system integrity.

About Our TeamAt OpenAI, our commitment to security is integral to our mission of ensuring that artificial general intelligence serves the betterment of humanity.Our dedicated Security team safeguards OpenAI's innovative technology, workforce, and products. We emphasize a technical yet operational approach, supporting all research and products across the organization. Our core principles include prioritizing impactful security measures, empowering researchers, preparing for future technologies, and cultivating a robust security culture.About This OpportunityAs a Security Engineer specializing in Detection and Response, you'll collaborate with our talented engineers and researchers to build, manage, and secure groundbreaking AI technologies. Your role will encompass all facets of Detection & Response, contributing as a versatile generalist within the Security team. Key responsibilities include:Lead initiatives across various security domains including Application Security, Infrastructure Security, Offensive Security, and Detection and Response.Innovate solutions to address emerging security challenges.Collaborate on pioneering AI research and leverage AI to enhance OpenAI’s security posture.This position may be based in San Francisco, CA, Seattle, WA, or New York City, NY. We adopt a hybrid work model, requiring three days in the office per week, and provide relocation assistance for new hires.Your Contributions Will Include:Innovating and enhancing Detection and Response infrastructure.Developing tools for the management of detection rule lifecycles.Creating, measuring, and refining detection rules for effective and sustainable operations.Automating manual response workflows.Ensuring visibility and management of OpenAI’s endpoint fleet (macOS, Windows).Driving advancements in identity access management (IAM), device management, and our utilization of public cloud services (e.g., AWS, Microsoft Azure).You Will Excel in This Role If You Have:Experience in cybersecurity or a related field.Familiarity with Microsoft Azure and/or other cloud infrastructure platforms.Strong problem-solving skills and a passion for security innovation.

Join Airbnb as a Senior Manager of Advanced Analytics within our Fraud & Safety Operations team. In this pivotal role, you will lead a talented team of analysts and data scientists focused on leveraging data to enhance safety and security across our platform. You will be responsible for developing sophisticated analytical models and strategies that proactively identify and mitigate fraud risks while ensuring a safe environment for our users.As a key leader, you will collaborate with cross-functional teams to drive data-driven decision-making and promote best practices in analytics. Your insights will shape the future of our fraud detection mechanisms and influence company-wide policies. If you are passionate about analytics, safety, and making a tangible impact, we want to hear from you!

Join Klaviyo as a Senior Security Engineer specializing in Detection and Response. In this critical role, you will be at the forefront of safeguarding our systems and data, ensuring our clients' security. Collaborate with talented professionals in a dynamic environment where your expertise will directly impact our security posture.

About Scribd:At Scribd Inc., we ignite curiosity and foster a vibrant ecosystem of stories and knowledge. Our mission is to democratize access to ideas and empower collective wisdom through our innovative platforms: Everand, Scribd, Slideshare, and Fable. Join us as we create an inclusive environment where creativity and collaboration thrive.We believe in cultivating a culture where authenticity and boldness flourish—encouraging open discussions and commitment to our goals while embracing the unexpected. Every team member is empowered to prioritize customer needs and take meaningful actions.Our flexible work policy, Scribd Flex, enhances individual work styles while fostering community connections. We encourage team members to collaborate intentionally through in-person moments, regardless of their location.We're looking for team members who embody "GRIT"—a blend of passion and perseverance towards long-term objectives. We seek individuals who can set and achieve Goals, deliver Results, offer Innovative solutions, and positively impact the Team's culture through collaboration.Role OverviewAs a Senior Security Engineer on our Infrastructure Security team, you'll play a crucial role in safeguarding our applications, platforms, and users. As we scale, we're enhancing our Detection & Response capabilities, transitioning towards a time-based security model that prioritizes speed, signal quality, and resilience as core design principles.

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.

About Our TeamAt OpenAI, we believe that the development of artificial general intelligence must be conducted in a way that is safe and beneficial for all of humanity. Security is paramount to our mission and underpins every aspect of our work.Our Security team is dedicated to safeguarding OpenAI’s technology, personnel, and products. We adopt a highly technical approach to our creations while maintaining operational excellence in execution. Our core tenets include prioritizing impactful initiatives, empowering our researchers, anticipating future technological advancements, and fostering a robust security culture.About the PositionAs a Security Engineer specializing in insider threat detection and response, you will collaborate with our talented engineers and researchers to build and secure groundbreaking AI technologies. This role emphasizes the identification and mitigation of insider threats, ensuring the protection of OpenAI's most sensitive assets. Key responsibilities will include:Key Responsibilities:Innovate and enhance our detection and response infrastructure to automate comprehensive workflows for detection and investigation.Develop, assess, and refine detection rules to guarantee effective and sustainable operations.Lead projects across OpenAI’s technology landscape focusing on insider threats, including access abuse and intellectual property theft, as well as emerging risks associated with AI infrastructure.Collaborate with cross-functional teams such as HR, Legal, and investigative units, providing technical insights and evidence to support thorough investigations.Engage in pioneering AI research initiatives, leveraging AI to bolster OpenAI’s security framework.Ideal Candidate Profile:A minimum of 5 years of experience in a detection/response or insider risk role; we welcome both mid-level and senior applicants.Proficient in operating systems and platforms, including macOS, Windows, Linux, and Kubernetes, with hands-on experience in cloud infrastructure.Strong knowledge of modern adversarial tactics, data exfiltration methods, and experience in managing and leading incident responses.Demonstrated proficiency in scripting languages such as Python, Bash, or PowerShell.Possess excellent analytical and problem-solving skills, with a keen attention to detail.