{"id":849201,"url":"https://alion.io/job/verisoul-intelligence-engineer-offline","title":"Intelligence Engineer - Offline","company":{"id":690010,"name":"Verisoul","domain":"verisoul.ai","url":"https://alion.io/company/verisoul","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false}],"status":"live","first_seen_at":"2025-12-16T21:43:44Z","employer_posted_date":"2025-12-16","last_verified_at":"2026-09-25T01:48:43Z","board_verified":true,"closed_at":null,"days_open":282,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":281},"description":"About Verisoul\nVerisoul catches fake accounts, AI bots, and fraud. We distinguish real humans from bots and bad actors for companies like P&G, Qualtrics, Clay, and VSCO.\nOur Trajectory (Last 12 Months):\n9x YoY Growth: 9x ARR growth to $5.5M, scaled to 150+ customers.\n\nProduct Dominance: 92% competitive win rate.\n\nStrong Backing: Raised $8.8M Series A.\n\nYou and Your Role\nBuild the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.\nWhat You’ll Do:\nArchitect Reputation Systems: Build batch and nearline pipelines to score risk across identity attributes (email, phone, ISP) and lay the foundation for a scalable intelligence knowledge graph.\n\nDeploy Graph Analytics: Use network science-including centrality, community detection, and embeddings-to detect synthetic accounts and visualize complex fraud clusters.\n\nDevelop Probabilistic Models: Engineer scoring algorithms that integrate historical reputation data and quantify uncertainty for dynamic entities like residential IPs.\n\nInnovate & Mine Data: Conduct open-ended discovery on terabytes of historical data to invent new features and uncover evolving patterns in fraud network organization.\n\nWhat You’ll Bring:\nExperience: 4+ years as a full-stack engineer\n\nBig Data Engineering: Experience with batch processing, data pipelines, and warehousing.\n\nEntity Resolution: Understanding of how to link data points (email, IP, device) into a cohesive identity.\n\nMathematical Intuition: You understand probability, entropy, or graph theory and can apply them to messy real-world data.\n\nLocation: In-person in Austin, TX.\n\nWho You’ll Work With:\nEngineering Team: To define the logic behind risk scores.\n\nPlatform Team: To make intelligence accessible via APIs.\n\nCompensation: $200,000 - $250,000 + Equity Grant\nBase Salary: $190,000 - $240,000 fixed annual salary (All Base)\n\n401k match: 4% match of compensation (~$8,000)\n\nEquity Grant: 0.2% - 0.4% with 4-year vesting\n\nLife At Verisoul\nIn office 5 days a week in Austin, Texas!\nBenefits\nFree Lunch - personalized your way\n\n$10K Relocation Bonus\n\n100% Insurance Coverage\n\n4% 401K Match\n\nUnlimited Vacation\n\nUp to 20 days Remote Annually\n\nBeautiful Office\n\nOur Values (SOUL)\nStart from Scratch We solve problems from the ground up. Fraud adapts daily, so we approach problems with a beginner’s mind: challenging assumptions, asking the questions no one else is asking, and rethinking the current way. We focus on finding the best answer and learning something new, even if it means changing our minds.\n\nOwn with Optimism We own high-impact problems end to end. We are self-starters and self-finishers: we move independently when we can and orchestrate when we should. We believe there is a solution that will work, even when conventional wisdom says otherwise. That belief gives us the energy to push through challenges and accomplish the impossible, while having fun doing it.\n\nUnique, Real, Human We help companies know that their users are unique, real, and human, and we emulate that in how we build Verisoul. We are building a company that should feel as distinct as the problem we are solving. We win by being unusually creative, unusually fun and joyful to work with, and unmistakably ourselves.\n\nLong-Term Trust We are in the business of building trust. Customers rely on Verisoul millions of times per day: with their users, their data, and decisions that affect their entire business. Trust compounds slowly and can be lost quickly, so we build it through clarity, accountability, and follow-through.","description_format":"text","description_chars":3586,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Insurance coverage"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Cybersecurity","Fraud Detection","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-13T02:41:28Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.188,"p_room":0.28,"age_days":281,"expected_fill_days":42,"reasons":["conf:7","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/verisoul-intelligence-engineer-offline","json_url":"https://alion.io/job/verisoul-intelligence-engineer-offline.json","meta":{"generated_at":"2026-09-25T03:20:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3678,"day_limit":5000,"remaining_today":1322,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}