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You&#39;ll build repeatable processes where they&#39;re needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don&#39;t fit neatly into standard procurement workflows.</p>\n<p>You&#39;ll work closely with legal, procurement, finance, and engineering teams, and you&#39;ll be the person who knows where every Safeguards contract stands, what we&#39;re spending, and where we should consider a change.</p>\n<p>This is a role for someone who&#39;s comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.</p>\n<p>*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.</p>\n<p>Responsibilities:</p>\n<p>Vendor Selection &amp; Onboarding - Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation</p>\n<p>Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content</p>\n<p>Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements</p>\n<p>Contract &amp; Budget Management - Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution</p>\n<p>Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming</p>\n<p>Handle invoicing, payment, and renewal processes with partners</p>\n<p>Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs</p>\n<p>Ongoing Vendor &amp; 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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_da06ef8d-890","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/5156596008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,000-$285,000 USD","x-skills-required":["vendor management","procurement","contract operations","risk management","fraud prevention","compliance","trust and safety","AI safety","account abuse prevention","platform integrity","cross-functional collaboration","ambiguity tolerance","fast-paced environments"],"x-skills-preferred":["AI safety vendor ecosystems","procurement tools","Ironclad","Zip"],"datePosted":"2026-04-18T15:53:59.839Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"vendor management, procurement, contract operations, risk management, fraud prevention, compliance, trust and safety, AI safety, account abuse prevention, platform integrity, cross-functional collaboration, ambiguity tolerance, fast-paced environments, AI safety vendor ecosystems, procurement tools, Ironclad, Zip","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":285000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1410a549-44e"},"title":"Director of Machine Learning, Safety & Mods","description":"<p>We&#39;re looking for a Director of Machine Learning to lead Reddit&#39;s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities.</p>\n<p>This leader will drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.</p>\n<p>In this role, you will own the roadmap for Safety and moderation ML, lead a team of applied scientists and engineers, and partner cross-functionally across Product, Engineering, Safety operations, Trust &amp; Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems.</p>\n<p>You will leverage modern ML , including fine-tuned LLMs , to ensure Reddit remains a safe, welcoming, and positive environment for our global user base.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set the vision and strategy for applying ML to Trust &amp; Safety, ensuring scalable, proactive protection against evolving abuse patterns.</li>\n</ul>\n<ul>\n<li>Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.</li>\n</ul>\n<ul>\n<li>Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency.</li>\n</ul>\n<ul>\n<li>Partner with Trust &amp; Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience.</li>\n</ul>\n<ul>\n<li>Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment.</li>\n</ul>\n<ul>\n<li>Champion ethical and responsible AI practices in all Safety ML solutions.</li>\n</ul>\n<ul>\n<li>Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards.</li>\n</ul>\n<ul>\n<li>Represent Safety ML leadership internally and externally , including conferences, publications, industry groups, and cross-company collaboration initiatives.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>10+ years of experience in Machine Learning, AI, or applied research, with a strong background in Trust &amp; Safety, abuse prevention, detection, or content integrity.</li>\n</ul>\n<ul>\n<li>5+ years of experience leading multi-disciplinary ML teams (applied science, engineering, analytics) in a high-growth or high-impact environment.</li>\n</ul>\n<ul>\n<li>Proven track record of shipping ML systems at scale in production, ideally including transformer-based models and LLM fine-tuning.</li>\n</ul>\n<ul>\n<li>Depth in NLP, content understanding, detection systems, supervised and weak-supervision techniques.</li>\n</ul>\n<ul>\n<li>Strong cross-functional leadership skills, with ability to influence executives and foster alignment across Safety, Product, and Engineering.</li>\n</ul>\n<ul>\n<li>Thought leadership in responsible AI, safety ML research, or safety measurement frameworks.</li>\n</ul>\n<p>Bonus points if you have:</p>\n<ul>\n<li>Experience building or operating real-time abuse detection and automated moderation systems in a complex user-generated content ecosystem.</li>\n</ul>\n<ul>\n<li>Prior work in consumer-facing tech, social platforms, or large-scale community-driven products.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n</ul>\n<ul>\n<li>401k with Employer Match</li>\n</ul>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n</ul>\n<ul>\n<li>Family Planning Support</li>\n</ul>\n<ul>\n<li>Gender-Affirming Care</li>\n</ul>\n<ul>\n<li>Mental Health &amp; Coaching Benefits</li>\n</ul>\n<ul>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Generous Paid Parental Leave</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_1410a549-44e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7430544","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$265,800-$365,100 USD","x-skills-required":["Machine Learning","AI","Applied Research","Trust & Safety","Abuse Prevention","Detection","Content Integrity","NLP","Content Understanding","Detection Systems","Supervised and Weak-Supervision Techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:09.971Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, AI, Applied Research, Trust & Safety, Abuse Prevention, Detection, Content Integrity, NLP, Content Understanding, Detection Systems, Supervised and Weak-Supervision Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":265800,"maxValue":365100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a144188-686"},"title":"Solutions Engineer, Benelux","description":"<p>At Cloudflare, we&#39;re on a mission to help build a better Internet. As a Solutions Engineer, you will be part of the Pre-Sales Solution Engineering organisation, owning the technical sale of the Cloudflare solution portfolio. You will work closely with our customers and partners to educate, empower, and ensure their success delivering Cloudflare security, reliability, and performance solutions.</p>\n<p>Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.</p>\n<p>We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.</p>\n<p>Specifically, we are looking for you to:</p>\n<ul>\n<li>Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue</li>\n<li>Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept</li>\n<li>Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline</li>\n<li>Evangelize and represent Cloudflare through technical thought leadership and expertise</li>\n<li>Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers</li>\n</ul>\n<p>You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.</p>\n<p>Examples of desirable skills, knowledge and experience include:</p>\n<ul>\n<li>Fluency in Dutch and English (verbal and written)</li>\n<li>Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders</li>\n<li>Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)</li>\n<li>Experience managing technical sales cycles end-to-end</li>\n<li>Ability to articulate business value and ROI of technical solutions, not just features</li>\n<li>Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)</li>\n<li>Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting</li>\n<li>Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN</li>\n<li>Cloud networking concepts: VPCs, peering, interconnect</li>\n<li>DDoS attack types (L3/L4/L7) and mitigation strategies</li>\n<li>Web Application Firewall (WAF) rule configuration and tuning</li>\n<li>VPN concepts and their limitations relative to Zero Trust approaches</li>\n<li>API security: API Gateway, rate limiting, schema validation, abuse prevention</li>\n<li>Bot management concepts and detection techniques</li>\n<li>SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)</li>\n<li>Zero Trust Network Access (ZTNA) vs. traditional VPN architecture</li>\n<li>HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics</li>\n<li>Detailed understanding of the flow from user to application, including hybrid cloud architectures</li>\n<li>Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)</li>\n<li>Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)</li>\n<li>Cloudflare Workers and the edge compute model (JavaScript/TypeScript)</li>\n<li>Familiarity with related primitives: KV, Object storage, serverless compute</li>\n<li>Familiarity with the competitive landscape across Cloudflare&#39;s product areas</li>\n<li>Understanding of why customers move from on-premises appliances to cloud-delivered security</li>\n<li>Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare</li>\n</ul>\n<p>We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we&#39;d love to hear from you.</p>\n<p>What makes Cloudflare special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend</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_8a144188-686","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7742347","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting","Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN","Cloud networking concepts: VPCs, peering, interconnect","DDoS attack types (L3/L4/L7) and mitigation strategies","Web Application Firewall (WAF) rule configuration and tuning","VPN concepts and their limitations relative to Zero Trust approaches","API security: API Gateway, rate limiting, schema validation, abuse prevention","Bot management concepts and detection techniques","SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)","Zero Trust Network Access (ZTNA) vs. traditional VPN architecture","HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics","Detailed understanding of the flow from user to application, including hybrid cloud architectures","Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)","Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)","Cloudflare Workers and the edge compute model (JavaScript/TypeScript)","Familiarity with related primitives: KV, Object storage, serverless compute","Familiarity with the competitive landscape across Cloudflare's product areas","Understanding of why customers move from on-premises appliances to cloud-delivered security","Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:26.177Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting, Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN, Cloud networking concepts: VPCs, peering, interconnect, DDoS attack types (L3/L4/L7) and mitigation strategies, Web Application Firewall (WAF) rule configuration and tuning, VPN concepts and their limitations relative to Zero Trust approaches, API security: API Gateway, rate limiting, schema validation, abuse prevention, Bot management concepts and detection techniques, SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform), Zero Trust Network Access (ZTNA) vs. traditional VPN architecture, HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics, Detailed understanding of the flow from user to application, including hybrid cloud architectures, Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models), Familiarity with Infrastructure-as-Code concepts (e.g. Terraform), Cloudflare Workers and the edge compute model (JavaScript/TypeScript), Familiarity with related primitives: KV, Object storage, serverless compute, Familiarity with the competitive landscape across Cloudflare's product areas, Understanding of why customers move from on-premises appliances to cloud-delivered security, Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed877cf7-715"},"title":"Member of Technical Staff - X Money, Fraud and Payments","description":"<p>We&#39;re looking for an exceptional Software Engineer to focus on Fraud Engineering for a new payments platform serving 600 million+ monthly users. This high-priority role is responsible for protecting users and the platform from fraud, abuse, and risk. You&#39;ll play a key role in designing and implementing systems to detect, prevent, and mitigate fraud in real time,at scale.</p>\n<p>Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement fraud detection and prevention systems that operate at global scale and low latency</li>\n<li>Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms</li>\n<li>Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience</li>\n<li>Monitor and analyze fraud trends, and proactively respond to new attack vectors</li>\n<li>Define engineering standards around observability, reliability, and rapid response in fraud-related systems</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred</li>\n<li>Skilled in distributed systems: You&#39;ve built resilient, high-throughput systems that operate under real-time constraints</li>\n<li>Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles</li>\n<li>Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges</li>\n<li>Builder mentality: You&#39;re excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.</li>\n</ul>\n<p><strong>Bonus</strong></p>\n<ul>\n<li>Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems</li>\n<li>Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems</li>\n<li>Experience in fintech, trust &amp; safety, or adversarial system design</li>\n<li>Comfortable working in a zero-to-one environment with rapid iteration</li>\n<li>Experience with: Golang, Postgres, Kafka, Memcached</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</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_ed877cf7-715","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4758524007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["backend or systems engineering","fraud, risk, or abuse prevention systems","distributed systems","security-conscious","analytical and pragmatic","builder mentality","Golang","Postgres","Kafka","Memcached"],"x-skills-preferred":["real-time anomaly detection","machine learning for fraud","rule-based risk systems","AML/KYC regulations","chargeback flows","identity verification systems","fintech","trust & safety","adversarial system design"],"datePosted":"2026-04-18T15:24:12.933Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend or systems engineering, fraud, risk, or abuse prevention systems, distributed systems, security-conscious, analytical and pragmatic, builder mentality, Golang, Postgres, Kafka, Memcached, real-time anomaly detection, machine learning for fraud, rule-based risk systems, AML/KYC regulations, chargeback flows, identity verification systems, fintech, trust & safety, adversarial system design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_183800c4-b3d"},"title":"Researcher, Frontier Cybersecurity Risks","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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><strong>About the team</strong></p>\n<p>The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.</p>\n<p>The Preparedness team is an important part of the [Safety Systems](https://openai.com/safety/safety-systems) org at OpenAI, and is guided by OpenAI’s [Preparedness Framework](https://openai.com/index/updating-our-preparedness-framework/).</p>\n<p>Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.</p>\n<p>The mission of the Preparedness team is to:</p>\n<ol>\n<li>Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic</li>\n</ol>\n<ol>\n<li>Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems</li>\n</ol>\n<p><strong>About the role</strong></p>\n<p>Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation.</p>\n<p>As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership.</li>\n</ul>\n<ul>\n<li>Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities.</li>\n</ul>\n<ul>\n<li>Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions.</li>\n</ul>\n<ul>\n<li>Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios.</li>\n</ul>\n<ul>\n<li>Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats (e.g., novel exploits, tool-use chains, automated attack workflows) and across different product surfaces—then iterate based on findings.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.</li>\n</ul>\n<ul>\n<li>Bring demonstrated experience in deep learning and transformer models.</li>\n</ul>\n<ul>\n<li>Are proficient with frameworks such as PyTorch or TensorFlow.</li>\n</ul>\n<ul>\n<li>Possess a strong foundation in data structures, algorithms, and software engineering principles.</li>\n</ul>\n<ul>\n<li>Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.</li>\n</ul>\n<ul>\n<li>Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering.</li>\n</ul>\n<ul>\n<li>Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale.</li>\n</ul>\n<ul>\n<li>(Nice to have) Bring background knowledge in cybersecurity or adjacent fields.</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_183800c4-b3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/97a7eeae-9625-4d00-874f-e50131f98369","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"Estimated Base Salary $295K – $445K","x-skills-required":["Deep learning","Transformer models","PyTorch","TensorFlow","Data structures","Algorithms","Software engineering principles","Large language models","Abuse prevention","Detection","Enforcement"],"x-skills-preferred":["Cybersecurity","Adjacent fields"],"datePosted":"2026-03-08T22:17:00.637Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep learning, Transformer models, PyTorch, TensorFlow, Data structures, Algorithms, Software engineering principles, Large language models, Abuse prevention, Detection, Enforcement, Cybersecurity, Adjacent fields","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0ccd7e3-4cb"},"title":"Data Scientist, Preparedness","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Data Scientist, Preparedness</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $400K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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 Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.</p>\n<p>Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.</p>\n<p>The mission of the Preparedness team is to:</p>\n<ol>\n<li>Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society</li>\n</ol>\n<ol>\n<li>Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems</li>\n</ol>\n<p>Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.</p>\n<p>This position goes beyond “running evals.” You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).</li>\n</ul>\n<ul>\n<li>Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.</li>\n</ul>\n<ul>\n<li>Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.</li>\n</ul>\n<ul>\n<li>Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.</li>\n</ul>\n<ul>\n<li>Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.</li>\n</ul>\n<ul>\n<li>Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.</li>\n</ul>\n<ul>\n<li>Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.</li>\n</ul>\n<p><strong>You might thrive in this role if you are:</strong></p>\n<ul>\n<li>An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.</li>\n</ul>\n<ul>\n<li>Strong at executive-ready communication: concise, clear, and outcome-oriented.</li>\n</ul>\n<ul>\n<li>Skilled in turning analysis into productable changes: you’re comfortable influencing across functions to drive mitigation improvements.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust &amp; safety, abuse prevention, fraud, platform integrity, or reliability).</li>\n</ul>\n<ul>\n<li>Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.</li>\n</ul>\n<ul>\n<li>Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.</li>\n</ul>\n<ul>\n<li>Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).</li>\n</ul>\n<ul>\n<li>Track record of driving cross-functional impact with engineering, product, and research partners</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_c0ccd7e3-4cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/efcc3430-14c8-4022-8350-8146ffb867ab","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$347K – $400K • Offers Equity","x-skills-required":["data science","applied analytics","security","trust & safety","abuse prevention","fraud","platform integrity","reliability","SQL","Python","experimentation","causal thinking","observational inference","measurement","metrics","dashboards","operational monitoring"],"x-skills-preferred":["machine learning","deep learning","natural language processing","computer vision","data engineering","data architecture"],"datePosted":"2026-03-06T18:35:03.164Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, applied analytics, security, trust & safety, abuse prevention, fraud, platform integrity, reliability, SQL, Python, experimentation, causal thinking, observational inference, measurement, metrics, dashboards, operational monitoring, machine learning, deep learning, natural language processing, computer vision, data engineering, data architecture","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":347000,"maxValue":400000,"unitText":"YEAR"}}}]}