Applied AI Scientist (PhD Required)

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    "description_html": "<div class=\"job_description\">\n\t\t\t\t\t<h1 dir=\"ltr\" style=\"margin-top:32px;margin-bottom:8px;\"><span style=\"font-size:18pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Applied AI Scientist</span></span></span></span></span></span></h1><span style=\"font-size:14px;\"><strong>Employment Type: </strong>Full-Time<br><strong>Location</strong>: Remote, Pakistan<br><strong>Level:</strong> Mid to Senior (PhD Required)</span><h2 style=\"line-height:1.38;margin-top:24px;margin-bottom:5px;\"><span style=\"font-size:16px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">About the Role</span></span></span></span></span></span></span></h2><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &#8212; trust &amp; safety, ad fraud detection, brand safety, and more &#8212; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">This role is for someone who understands data deeply </span></span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:italic;\"><span style=\"text-decoration:none;\">and</span></span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:16px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Responsibilities</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time</span></span></span></span></span></span></span></li></ul><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Partner with engineering and product teams to ensure data quality and integrity across product pipelines</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Support data needs across Pixalate's product portfolio &#8212; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;\"><span style=\"font-size:18px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What We're Looking For</span></span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:16px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Must-Have</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">3&#8211;6 years of experience in a data science, ML, or data analytics role</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong statistical foundation &#8212; you understand distributions, hypothesis testing, model evaluation, and where things go wrong</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Proficiency in Python and SQL</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Ability to think critically about data quality and model outputs &#8212; you're naturally skeptical and rigorous</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Clear written and verbal communication skills</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:16px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Nice-to-Have</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Exposure to multi-agent orchestration patterns</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Comfort working in fast-moving environments with evolving product requirements</span></span></span></span></span></span></span></li></ul><span style=\"font-size:14px;\">We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.<br><br>Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.<br>Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:</span><ul><li dir=\"ltr\"><span style=\"font-size:14px;\">Gizmodo:<a href=\"https://gizmodo.com/apple-icloud-private-relay-ad-fraud-scam-research-1849803510\"> An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</a></span></li><li dir=\"ltr\"><span style=\"font-size:14px;\">Adweek:<a href=\"https://www.adweek.com/programmatic/pixalate-ad-fraud-scheme-roku-murkiness-ctv/\"> A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</a></span></li><li dir=\"ltr\"><span style=\"font-size:14px;\">Washington Post:<a href=\"https://www.washingtonpost.com/technology/2022/06/09/apps-kids-privacy/\"> Your kids&#8217; apps are spying on them</a></span></li><li dir=\"ltr\"><span style=\"font-size:14px;\">Pro Publica:<a href=\"https://www.propublica.org/article/google-display-ads-piracy-porn-fraud\"> Porn, Piracy, Fraud: What Lurks Inside Google&#8217;s Black Box Ad Empire</a></span></li><li dir=\"ltr\"><span style=\"font-size:14px;\">ABC7 News:<a href=\"https://www.youtube.com/watch?v=qhFAxvs-mBY\"> The State of Children's Privacy Online</a></span></li><li dir=\"ltr\"><span style=\"font-size:14px;\">NBC News:<a href=\"https://www.pixalate.com/blog/jalal-nasir-nbc-12news-apps-tracking-child\"> How many apps are tracking your children</a></span></li></ul><span style=\"font-size:14px;\">Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.</span><h1><span style=\"font-size:14px;\"><em>Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.</em></span></h1>",
    "description_text": "Applied AI Scientist\n Employment Type: Full-Time\n Location : Remote, Pakistan\n Level: Mid to Senior (PhD Required) About the Role\n We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite — trust & safety, ad fraud detection, brand safety, and more — using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.\n This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.\n Responsibilities\n Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues\n Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams\n Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time\n Partner with engineering and product teams to ensure data quality and integrity across product pipelines\n Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements\n Support data needs across Pixalate's product portfolio — including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products\n What We're Looking For\n Must-Have\n PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field\n 3–6 years of experience in a data science, ML, or data analytics role\n Strong statistical foundation — you understand distributions, hypothesis testing, model evaluation, and where things go wrong\n Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)\n Proficiency in Python and SQL\n Ability to think critically about data quality and model outputs — you're naturally skeptical and rigorous\n Clear written and verbal communication skills\n Nice-to-Have\n Prior experience in cybersecurity, fraud detection, trust & safety, or digital advertising ecosystems\n Exposure to multi-agent orchestration patterns\n Comfort working in fast-moving environments with evolving product requirements\n We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.\nPixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.\nOur software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says\n Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV\n Washington Post: Your kids’ apps are spying on them\n Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire\n ABC7 News: The State of Children's Privacy Online\n NBC News: How many apps are tracking your children\n Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore. Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.",
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    "title": "Applied AI Scientist (PhD Required)",
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