{"id":128205,"url":"https://alion.io/job/signifyd-senior-machine-learning-engineer-i-ii","title":"Senior Machine Learning Engineer I // II","company":{"id":48225,"name":"Signifyd","domain":"signifyd.com","url":"https://alion.io/company/signifyd","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States","Chicago, United States","Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-04-13T14:07:35Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-17T19:11:21Z","board_verified":true,"closed_at":null,"days_open":187,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":186},"description":"At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.\nTrusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!\nThe Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.\nOur Culture\nWe value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.\nThe Role\nAs a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team. You won’t just build models-you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.\nResponsibilities:\nExpand ML Capabilities - Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.\nEnable High-Velocity Experimentation - Own the design and implementation of ML pipeline components that accelerate our innovation\nCollaborate Across Functions - Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.\nRaise the Bar - Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.\nRequirements:\nEducation: A degree in Computer Science, Statistics, or a comparable quantitative field.\nExperience: 4-6+ years of post-undergrad work experience in a production-grade ML environment.\nTechnical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.\nExecution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments.\nCommunication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.\nTech Stack: Proficiency in Python, SQL, key ML libraries, and Spark\nMindset: A strong outcome-oriented mindset-you care about the \"why\" behind the models and the business impact they create.\nAttention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'\nNice to have:\nPrevious experience in fraud, fintech, payments, or e-commerce.\nPassion for writing well-tested production-grade code\nA Master’s Degree or PhD.\nWhy Join Us?\nMake an Impact - Your work will directly shape the future of fraud prevention, protecting billions of payments.\nLead & Grow - Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.\nInnovate at Scale - Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible.\nCollaborative Culture - Join a team that values curiosity, ownership, and continuous learning.\nBenefits in our US offices:\nDiscretionary Time Off Policy (Unlimited!)\n401K Match\nStock Options\nAnnual Performance Bonus or Commissions\nPaid Parental Leave (12 weeks)\nOn-Demand Therapy for all employees & their dependents\nDedicated learning budget through Learnerbly\nHealth Insurance\nDental Insurance\nVision Insurance\nFlexible Spending Account (FSA)\nShort Term and Long Term Disability Insurance\nLife Insurance\nCompany Social Events\nSignifyd Swag\nCompensation: \nIn the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.\nBase Salary Ranges by Pay Zone:\nTier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually\nTier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually\nTier 3 (US - All Other): $140,000 - $170,000 annually\nEquity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines. \nBonus: This role is eligible for an annual performance bonus of up to 10% of base salary.\nWe want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.\nSignifyd's Applicant Privacy Notice","description_format":"text","description_chars":5794,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Continuous learning","Dental insurance","Equity","Health insurance","Life insurance","Parental leave","Stock options","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-04-13T14:07:35Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.349,"p_room":0.28,"age_days":186,"expected_fill_days":31,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":false},"html_url":"https://alion.io/job/signifyd-senior-machine-learning-engineer-i-ii","json_url":"https://alion.io/job/signifyd-senior-machine-learning-engineer-i-ii.json","meta":{"generated_at":"2026-10-17T21:48:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6582,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48225},"rest":"https://alion.io/mcp/rest/get_company?id=48225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsignifyd-senior-machine-learning-engineer-i-ii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsignifyd-senior-machine-learning-engineer-i-ii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsignifyd-senior-machine-learning-engineer-i-ii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/signifyd-senior-machine-learning-engineer-i-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsignifyd-senior-machine-learning-engineer-i-ii"}]}