Applied AI Scientist

About the Role

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.

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.

Responsibilities

• Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
• Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams
• Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time

• Partner with engineering and product teams to ensure data quality and integrity across product pipelines
• Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
• Support data needs across Pixalate's product portfolio — including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products

What We're Looking For

Must-Have

• PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
• 3–6 years of experience in a data science, ML, or data analytics role
• Strong statistical foundation — you understand distributions, hypothesis testing, model evaluation, and where things go wrong
• 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)
• Proficiency in Python and SQL
• Ability to think critically about data quality and model outputs — you're naturally skeptical and rigorous
• Clear written and verbal communication skills

Nice-to-Have

• Prior experience in cybersecurity, fraud detection, trust & safety, or digital advertising ecosystems
• Exposure to multi-agent orchestration patterns
• Comfort working in fast-moving environments with evolving product requirements

Benefits
We focus on doing things differently and challenge each other to be the best we can be.

• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high-performing team that wants to win and have fun doing it
• Extremely competitive compensation

• Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
• Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
• Washington Post: Your kids’ apps are spying on them
• Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
• ABC7 News: The State of Children's Privacy Online
• NBC News: How many apps are tracking your children

Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.