Senior Anti-Fraud Engineer (Full-Time) at Toloka

Worldwide

<p>At <strong>Toloka AI</strong> we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains - from doctors and lawyers to physicists and engineers - and boast one of the most diverse global crowds, <strong>representing over</strong> <strong>100 countries and speaking 40+ languages</strong>. We are a well-funded startup with an enviable portfolio of clients including <strong>Anthropic</strong>, <strong>Amazon</strong>, <strong>Microsoft</strong>, <strong>Poolside</strong>, <strong>Recraft</strong>, and <strong>Shopify</strong>.</p> <p>Recently, we secured strategic investment led by <strong>Bezos Expeditions </strong>and<strong> Nebius Group</strong> with participation from <strong>Mikhail Parakhin</strong>, <strong>CTO of Shopify</strong> and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: <strong>USA</strong>, <strong>UK</strong>, <strong>the Netherlands</strong>, <strong>Serbia</strong>, and more.</p> <p><strong><br>What this role is about (&amp; Project details)</strong></p> <p>Our team builds the systems that detect and stop fraud on the Toloka platform. Fraud here is a moving target: bad actors adapt quickly, test our defenses, and increasingly use automation and LLMs to get around them. The same technologies give us a lot of room for new ideas, and we’re looking for someone to help us stay ahead.</p> <p>You’ll sit at the intersection of analytics and applied ML. You’ll dig into data, find patterns nobody has noticed yet, turn them into hypotheses, and then into working defenses: models and automated pipelines running in production.</p> <p><strong>What you'll actually do</strong></p> <ul> <li>Explore data to find new fraud patterns, anomalies, and insights, and to understand how fraudsters operate.</li> <li>Design metrics that show how our protection works, and build dashboards and charts that make them visible.</li> <li>Generate hypotheses from data and test them rigorously.</li> <li>Turn validated hypotheses into production solutions: rules and heuristics, ML models, and LLM-based approaches.</li> <li>Build and maintain data pipelines (SQL, Python, Airflow) that keep our defenses running and up to date.</li> <li>Think like an attacker. Anticipate how a new defense could be bypassed, and design it to hold up from day one.</li> <li>Own your area end to end: from the first insight to a deployed solution and its ongoing monitoring.</li> <li>Help shape anti-fraud rules and policies, including how we define and classify fraud.</li> </ul> <p><strong>What we evaluate</strong></p> <ul> <li><strong>Analytical thinking.</strong> You can frame a vague problem, choose the right metrics, and draw sound conclusions from messy data.</li> <li><strong>Hypothesis-driven approach.</strong> You generate ideas from data and know how to test them properly.</li> <li><strong>SQL.</strong> You write confident, efficient queries on large datasets (ClickHouse experience is a plus).</li> <li><strong>Python &amp; ML.</strong> You can build features, train and evaluate models, and ship them to production. Practical experience with LLMs is a plus.</li> <li><strong>Data pipelines.</strong> You have working experience with Airflow or similar orchestration tools.</li> <li><strong>Product sense.</strong> You understand the trade-offs of protection: false positives, impact on honest users, and cost.</li> </ul> <p><strong>Nice to have, none required</strong></p> <ul> <li>Hands-on experience in anti-fraud, trust &amp; safety, risk, or abuse prevention (a big plus).</li> <li>Experience with anomaly detection, graph analysis, or behavioral modeling.</li> <li>Experience applying LLMs to analytical or classification tasks.</li> <li>Experience with Databricks.</li> <li>Experience with crowdsourcing or data annotation platforms.</li> </ul> <p><strong>What we can offer</strong></p> <ul> <li>You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector.</li> <li>Competitive compensation package including <strong>base salary</strong>, <strong>bonus</strong>, and <strong>ESOP</strong>.</li> <li>Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you;</li> <li><strong>Paid PTO</strong> and benefits will vary depending on location.</li> <li>IT setup and home office allowances.</li> <li>Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects;</li> </ul> <p style="text-align: center;"><strong data-stringify-type="bold"><br>[Important Notice] Scam Alert Regarding Fake Job Postings</strong></p> <p>It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:</p> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Official Communication:</strong>&nbsp;Our recruiting team will&nbsp;<strong data-stringify-type="bold">only</strong>&nbsp;contact you from an official "<a class="c-link" href="http://toloka.ai/" target="_blank" data-stringify-link="http://toloka.ai" data-sk="tooltip_parent">toloka.ai</a>" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,&nbsp; or other personal or seemingly business email accounts.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Our Process:</strong>&nbsp;We will&nbsp;<strong data-stringify-type="bold">never</strong>&nbsp;ask for your bank account details, credit card number, or any fees as part of the application or interview process.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Official Listings:</strong>&nbsp;All legitimate job openings are posted on our official careers page:&nbsp;<a class="c-link" href="https://toloka.ai/careers#job-list" target="_blank" data-stringify-link="https://toloka.ai/careers#job-list" data-sk="tooltip_parent">https://toloka.ai/careers#job-list</a></li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">What to do:</strong>&nbsp;If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at&nbsp;<a class="c-link" href="mailto:security@toloka.ai" target="_blank" data-stringify-link="mailto:security@toloka.ai" data-sk="tooltip_parent">security@toloka.ai</a>&nbsp;and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. <br><br>Thank you for your vigilance!</div>