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experience with ML frameworks like XGBoost, LightGBM, or TensorFlow</li>\n</ul>\n<ul>\n<li>Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing</li>\n</ul>\n<ul>\n<li>Excellent communication skills and ability to influence decision-making across technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments</li>\n</ul>\n<p>What we offer</p>\n<ul>\n<li>Challenging, high-impact work to grow your career</li>\n</ul>\n<ul>\n<li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching</li>\n</ul>\n<ul>\n<li>Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents</li>\n</ul>\n<ul>\n<li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; 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As a Fraud &amp; Transaction Monitoring Specialist, you will be responsible for detecting, investigating, and preventing fraudulent activities across financial transactions.</p>\n<p>This role involves monitoring transaction patterns, analysing suspicious activities, and ensuring compliance with internal policies and regulatory requirements.</p>\n<p>Responsibilities: Monitor real-time and batch transactions to identify suspicious or fraudulent activities. Review alerts generated by fraud detection systems and escalate high-risk cases. Conduct investigations on flagged transactions, accounts, and customer behaviour. Analyse transaction patterns and trends to identify emerging fraud risks. Collaborate with internal teams (Compliance, Risk, Operations) to resolve fraud cases. Document investigation findings and maintain accurate case records. Recommend improvements to fraud detection rules, systems, and processes. Ensure compliance with regulatory requirements (e.g., AML/CFT policies). 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At Roblox, we&#39;re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>The Safety organisation&#39;s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behaviour, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters.</p>\n<p>As a Senior Machine Learning Engineer within the Account Identity team, you will be instrumental in developing our in-house Facial Age Estimation product and centralising age assurance controls. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Applied team safely brings OpenAI&#39;s technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There&#39;s a lot more on the immediate horizon.</p>\n<p>Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.</p>\n<p>The Scaled Abuse team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a data scientist with anti fraud &amp; abuse experience to help architect and build our next-generation anti-abuse systems.</p>\n<p><strong>About the Role</strong></p>\n<p>The Platform Abuse team protects OpenAI’s products from abuse. In the data scientist role, you will be responsible for discovering and mitigating new types of misuse, and scaling our detection techniques and processes. Platform Abuse is an especially exciting area since we believe most of the ways our technologies will be abused haven’t even been invented yet.</p>\n<p><strong>This role is based in our San Francisco HQ. We offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience.</li>\n</ul>\n<ul>\n<li>Work closely with finance, security, product, research, and trust &amp; safety operations to holistically combat fraudulent and abusive actors on our system.</li>\n</ul>\n<ul>\n<li>Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries.</li>\n</ul>\n<ul>\n<li>Utilize GPT-5 and future models to more effectively combat fraud and abuse.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience on a highly technical trust and safety team and/or have worked closely with policy, content moderation, or security teams.</li>\n</ul>\n<ul>\n<li>Can use coding languages (Python preferred) to programmatically explore large datasets and generate actionable insights to solve problems.</li>\n</ul>\n<ul>\n<li>Proven ability to propose, design, and run rigorous experiments (A/B tests, quasi-experiments, simulations) with clear insights and actionable product recommendations, leveraging SQL and Python.</li>\n</ul>\n<ul>\n<li>Excellent communication skills with a track record of influencing cross-functional partners, including product managers, engineers, policy leads, and executives.</li>\n</ul>\n<ul>\n<li>Bonus if you have experience with deploying scaled detection solutions using large language models, embeddings, or fine tuning.</li>\n</ul>\n<ul>\n<li>5+ years of quantitative experience in ambiguous environments, ideally as a data scientist at a hyper-growth company or research org, with exposure to fraud, abuse, or security problems.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</p>\n<p>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)</p>\n<p>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.</p>\n<p>Compensation Range: $293K - $325K</p>\n<p>[</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3cc3bd97-dd1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/fb601d63-9657-487f-bf49-efece8dd5c5e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"Full time","x-salary-range":"$293K – $325K • Offers Equity","x-skills-required":["Python","SQL","fraud detection","abuse prevention","large language models","embeddings","fine-tuning"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:02.081Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, fraud detection, abuse prevention, large language models, embeddings, fine-tuning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d9a2728-084"},"title":"Fraud & Risk Operator","description":"<p>We are seeking a meticulous and proactive individual to join our team as a Fraud &amp; Risk Operator. 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If you are ambitious and have a sharp eye for detail, this role will empower you to successfully implement and shape strategies that greatly influence our business.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6d9a2728-084","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Aristocrat Interactive","sameAs":"https://www.aristocratinteractive.com/","logo":"https://logos.yubhub.co/aristocratinteractive.com.png"},"x-apply-url":"https://aristocrat.wd3.myworkdayjobs.com/en-US/AristocratExternalCareersSite/job/Lansing-MI-US/Fraud-and-Risk-Operators_R0021087?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$18.00 - $23.00 per hour","x-skills-required":["fraud detection","risk management","payment processing","customer 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scoring pipelines.</p>\n<p>You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.</p>\n<p>You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.</p>\n<p>You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.</p>\n<p>You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.</p>\n<p>Equivalent practical experience or a Bachelor&#39;s degree in Computer Science, Data Science, or related field is required.</p>\n<p>This role offers an annual salary range of $230,000-$310,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1421728f-e82","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108841008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230,000-$310,000 USD","x-skills-required":["risk scoring","fraud detection","trust and safety","policy enforcement","SQL","Python","identity signals","device fingerprinting","account linking","entity resolution","appeals processes","customer-facing enforcement communications"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:44:38.446Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, 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Plaid is dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>Fraud remains one of the hardest problems in financial services,and one of the biggest opportunities for Plaid. Our Fraud team is building the trusted identity backbone for the financial ecosystem, helping customers onboard good users with confidence while keeping bad actors out.</p>\n<p>As the Product Manager for Identity Verification (IDV) and Monitor (AML), you’ll own the foundation of Plaid’s fraud platform. IDV enables fast, accurate identity verification at onboarding, while Monitor provides continuous AML screening and transaction monitoring. Together, they power Protect and Layer–Plaid’s next-generation fraud products.</p>\n<p>In this role, you will take end-to-end ownership of IDV and Monitor–setting direction, driving execution, and aligning teams around measurable outcomes. You’ll blend technical, data and design perspectives to move from concept to production quickly and deliver systems that are accurate, reliable and built for scale. You’ll partner directly with Plaid’s fraud founders and an experienced engineering team to raise the standard for fraud prevention.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the direction. Own the vision, strategy, and roadmap for IDV and Monitor end to end. Drive meaningful outcomes for fraud prevention, compliance, and customer experience.</li>\n</ul>\n<ul>\n<li>Build the backbone. 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To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e84f14f4-f65","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/80321712-6e20-47af-9dd9-c79e9f55ab44?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$206,600-$306,000 per year","x-skills-required":["fraud detection","risk scoring","identity verification","anti-money laundering","product management","technical writing","communication","team leadership"],"x-skills-preferred":["data science","machine learning","software development","design thinking"],"datePosted":"2026-04-17T12:51:05.498Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"fraud detection, risk scoring, identity verification, anti-money laundering, product management, technical writing, communication, team leadership, data science, machine learning, software development, design thinking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206600,"maxValue":306000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6169e99-a3e"},"title":"Safeguards Analyst, Account Abuse","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. 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As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators</li>\n<li>Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse</li>\n<li>Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection</li>\n<li>Expand internal account signals with new data sources and behavioural indicators to improve detection coverage</li>\n<li>Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness</li>\n<li>Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume</li>\n<li>Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve</li>\n<li>Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners</li>\n<li>Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes</li>\n<li>Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows</li>\n<li>Maintain detailed documentation of signal development, enforcement processes, and operational decisions</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement</li>\n<li>Hands-on experience building detection systems, risk models, or enforcement processes and workflows</li>\n<li>Experience evaluating and integrating third-party data sources into detection or scoring pipelines</li>\n<li>Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships</li>\n<li>Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications</li>\n<li>Demonstrated ability to analyze complex data problems and translate findings into actionable improvements</li>\n<li>Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations</li>\n<li>Equivalent practical experience or a Bachelor&#39;s degree in Computer Science, Data Science, or related field</li>\n</ul>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar</li>\n<li>Are comfortable working with ambiguous, noisy data and extracting meaningful signal</li>\n<li>Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes</li>\n<li>Have experience with graph-based data, account-linking problems, or cross-functional process design</li>\n<li>Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches</li>\n<li>Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows</li>\n<li>Can balance deep analytical work with cross-functional collaboration and stakeholder coordination</li>\n<li>Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b6169e99-a3e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108841008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230,000 - $310,000USD","x-skills-required":["risk scoring","fraud detection","trust and safety","policy enforcement","SQL","Python","graph-based data infrastructure","identity signals","device fingerprinting","account linking","entity resolution","appeals processes","customer-facing enforcement communications"],"x-skills-preferred":["generative AI tools","cross-functional process design","cybersecurity","threat intelligence"],"datePosted":"2026-03-08T14:00:53.781Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"risk scoring, fraud detection, trust and safety, policy enforcement, SQL, Python, graph-based data infrastructure, identity signals, device fingerprinting, account linking, entity resolution, appeals processes, customer-facing enforcement communications, generative AI tools, cross-functional process design, cybersecurity, threat intelligence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_138b24e2-2bd"},"title":"Senior Software Engineer, Anti-Abuse & Security","description":"<p>Rewrite this job ad in your own words, matching the tone of voice of the original. Reuse the same section headings from the original ad (e.g. if the ad says &quot;Responsibilities&quot;, use that heading, not &quot;What you&#39;ll do&quot;).</p>\n<p>Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.</p>\n<p>Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.</p>\n<p>For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.</p>\n<p>Do not invent information that is not in the original ad.</p>\n<p><strong>About the role</strong> The Anti-Abuse team is the front line defending Replit&#39;s platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.</p>\n<p>What makes this role unique is the AI-native nature of Replit&#39;s platform. You&#39;ll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You&#39;ll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.</p>\n<p><strong>In this role you will…</strong></p>\n<ul>\n<li>Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions</li>\n<li>Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions</li>\n<li>Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions</li>\n<li>Design automated response mechanisms that enforce platform policies without manual intervention</li>\n<li>Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal</li>\n<li>Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules</li>\n<li>Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity</li>\n<li>Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs</li>\n<li>Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve</li>\n</ul>\n<p><strong>Required skills and experience:</strong></p>\n<ul>\n<li>4+ years of experience in security engineering, anti-abuse, trust &amp; safety, or fraud detection</li>\n<li>Strong programming skills in Python and/or TypeScript for building detection systems and automation</li>\n<li>Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)</li>\n<li>Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection</li>\n<li>Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors</li>\n<li>Ability to investigate complex abuse patterns and translate findings into automated defenses</li>\n<li>Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse</li>\n<li>Clear communication skills for working across Security, Support, Legal, and Engineering teams.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)</li>\n<li>Background in fraud detection, payment abuse, or financial crime</li>\n<li>Familiarity with device fingerprinting, IP reputation, and email validation services</li>\n<li>Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)</li>\n<li>Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)</li>\n<li>Prior work with abuse reporting pipelines, trust &amp; safety tooling, or content moderation systems</li>\n</ul>\n<p><strong>Tools + Tech Stack for this role</strong></p>\n<ul>\n<li><strong>Languages:</strong> Python, TypeScript, Go, SQL</li>\n<li><strong>Data:</strong> BigQuery, Hex</li>\n<li><strong>Detection tools:</strong> Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)</li>\n<li><strong>CI/CD Security: Dependabot, Snyk, SAST/SCA scanners</strong></li>\n<li><strong>Infrastructure: GCP, Kubernetes</strong></li>\n<li><strong>Collaboration: Linear, Slack, Zendesk (for abuse reports)</strong></li>\n</ul>\n<p><strong>This role may</strong> _<strong>not</strong>_ <strong>be a fit if</strong></p>\n<ul>\n<li>You prefer deep security research over building operational detection systems</li>\n<li>You want to focus on vulnerability management, pentesting, or bug bounty triage (that&#39;s our Security team)</li>\n<li>You&#39;re looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behavior</li>\n<li>You prefer working in isolation rather than partnering closely with Support, Legal, and cross-functional teams</li>\n<li>You&#39;re uncomfortable making enforcement decisions that affect real users</li>\n</ul>\n<p>_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._</p>\n<p><strong>Full-Time Employee Benefits Include:</strong> 💰 Competitive Salary &amp; Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_138b24e2-2bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/5bdadf61-7955-46e8-8fdf-bd69818358b7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190K – $240K","x-skills-required":["security engineering","anti-abuse","trust & safety","fraud detection","Python","TypeScript","SQL","BigQuery","Hex","ML/LLM-based classifiers","prompt injection","jailbreaking","common attack patterns","phishing infrastructure","account takeover","credential stuffing","resource abuse"],"x-skills-preferred":["experience at a platform company","fraud detection","payment abuse","financial crime","device fingerprinting","IP reputation","email validation services","CI/CD security tooling","container security","Linux internals","cloud infrastructure"],"datePosted":"2026-03-07T15:19:04.069Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"security engineering, anti-abuse, trust & safety, fraud detection, Python, TypeScript, SQL, BigQuery, Hex, ML/LLM-based classifiers, prompt injection, jailbreaking, common attack patterns, phishing infrastructure, account takeover, credential stuffing, resource abuse, experience at a platform company, fraud detection, payment abuse, financial crime, device fingerprinting, IP reputation, email validation services, CI/CD security tooling, container security, Linux internals, cloud infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d338220-834"},"title":"Machine Learning Engineer III","description":"<p>The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. 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