ЕвропаSenior Anti-Fraud Engineer (Full-Time)
2 дн. назад
ЕвропаSeniorRemote
machine learningdata analysisfraud detectionpython
Develop systems to detect and prevent fraud on the platform using analytics and applied machine learning.
Будет плюсом
- Hands-on experience in anti-fraud, trust & safety, risk, or abuse prevention (a big plus).
- Experience with anomaly detection, graph analysis, or behavioral modeling.
- Experience applying LLMs to analytical or classification tasks.
- Experience with Databricks.
- Experience with crowdsourcing or data annotation platforms.
Условия
- You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector.
- Competitive compensation package including base salary , bonus , and ESOP .
- Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you;
- Paid PTO and benefits will vary depending on location.
- IT setup and home office allowances.
- Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects;
Другое
- At AI 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, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify .
- Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify 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: USA , UK , the Netherlands , Serbia , and more.
- Our team builds the systems that detect and stop fraud on the 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.
- 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.
- Explore data to find new fraud patterns, anomalies, and insights, and to understand how fraudsters operate.
- Design metrics that show how our protection works, and build dashboards and charts that make them visible.
- Generate hypotheses from data and test them rigorously.
- Turn validated hypotheses into production solutions: rules and heuristics, ML models, and LLM-based approaches.
- Build and maintain data pipelines (SQL, Python, Airflow) that keep our defenses running and up to date.
- Think like an attacker. Anticipate how a new defense could be bypassed, and design it to hold up from day one.
- Own your area end to end: from the first insight to a deployed solution and its ongoing monitoring.
- Help shape anti-fraud rules and policies, including how we define and classify fraud.
- Analytical thinking. You can frame a vague problem, choose the right metrics, and draw sound conclusions from messy data.
- Hypothesis-driven approach. You generate ideas from data and know how to test them properly.
- SQL. You write confident, efficient queries on large datasets (ClickHouse experience is a plus).
- Python & ML. You can build features, train and evaluate models, and ship them to production. Practical experience with LLMs is a plus.
- Data pipelines. You have working experience with Airflow or similar orchestration tools.
- Product sense. You understand the trade-offs of protection: false positives, impact on honest users, and cost.
- It has come to our attention that an individual or group is fraudulently impersonating to post fake jobs and solicit personal information from applicants.Please be aware:
- Official Communication: Our recruiting team will only contact you from an official " .ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, .inc, or other personal or seemingly business email accounts.
- Official Listings: All legitimate job openings are posted on our official careers page:
- What to do: 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 security@.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!