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Final determination of salary grade will be based on candidate&#39;s skills and experience, and base salary will be set within the applicable range according to job scope, responsibility, and competitive market value. For more information on salary and benefits, click here: https://fordcareers.co/GSR</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_a1b95762-fe5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://efds.fa.em5.oraclecloud.com"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/59625","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$84,480-162,120","x-skills-required":["heat treatment processes","metallurgy","hardness testing","complex failure analysis","technical engineering drawings","cross-functional teams","equipment procurement","plant engineering","vacuum carburizing","gear machining","metrology"],"x-skills-preferred":["new materials development","welding technology","shot peening","plant layouts","visual factory","scrap identification","quality improvement","cost reduction","process documentation","process flow charts","PFMEA","DCP","process sheets","visual aids","gauging instructions","control charts"],"datePosted":"2026-03-09T11:01:33.217Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"heat treatment processes, metallurgy, hardness testing, complex failure analysis, technical engineering drawings, cross-functional teams, equipment procurement, plant engineering, vacuum carburizing, gear machining, metrology, new materials development, welding technology, shot peening, plant layouts, visual factory, scrap identification, quality improvement, cost reduction, process documentation, process flow charts, PFMEA, DCP, process sheets, visual aids, gauging instructions, control charts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":84480,"maxValue":162120,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6fce5aec-07b"},"title":"Quantitative Intelligence Analyst","description":"<p><strong>Quantitative Intelligence Analyst</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>Intelligence &amp; Investigations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $320K • 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. 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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<p><strong>Benefits</strong></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 Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI&#39;s overarching goal of developing AI that benefits humanity.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Quantitative Intelligence Analyst</strong>, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators</li>\n</ul>\n<ul>\n<li>Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time</li>\n</ul>\n<ul>\n<li>Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts</li>\n</ul>\n<ul>\n<li>Analyze risk trends to assess the underlying drivers and causal factors behind those changes</li>\n</ul>\n<ul>\n<li>Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems</li>\n</ul>\n<ul>\n<li>Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities</li>\n</ul>\n<ul>\n<li>Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 3–6+ years of experience in quantitative intelligence analysis, trust &amp; safety, security analysis, or risk-focused research</li>\n</ul>\n<ul>\n<li>Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas</li>\n</ul>\n<ul>\n<li>Familiarity with data mining, statistical modeling, and supervised learning methods</li>\n</ul>\n<ul>\n<li>Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes</li>\n</ul>\n<ul>\n<li>Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses</li>\n</ul>\n<ul>\n<li>Comfortable working with Python and SQL</li>\n</ul>\n<ul>\n<li>Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk</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 and work to ensure that our technology is developed and used responsibly.</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_6fce5aec-07b","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/0ed88787-a794-4089-b022-e2d316a436bc","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198K – $320K • Offers Equity","x-skills-required":["quantitative intelligence analysis","trust & safety","security analysis","risk-focused research","data mining","statistical modeling","supervised learning methods","Python","SQL"],"x-skills-preferred":["quantitative stress testing","Monte Carlo simulations","red-team exercises","agent-based modeling","structured scenario analyses"],"datePosted":"2026-03-06T18:33:54.657Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"quantitative intelligence analysis, trust & safety, security analysis, risk-focused research, data mining, statistical modeling, supervised learning methods, Python, SQL, quantitative stress testing, Monte Carlo simulations, red-team exercises, agent-based modeling, structured scenario analyses","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":320000,"unitText":"YEAR"}}}]}