--- title: 'Senior Machine Learning Engineer I // II at Signifyd' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-i-ii-signifyd-denver-xca9c1zc5877' type: 'job' last_seen: '2026-09-05' --- # Senior Machine Learning Engineer I // II at Signifyd - **Company:** Signifyd - **Location:** Denver, CO / Seattle, WA / Chicago, IL / United States - **Work type:** remote - **Posted:** 2026-04-13 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/signifyd95/jobs/7586185 ## Job 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. Trusted 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](https://www.signifyd.com/about/#values)! The 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. Our Culture We 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. ## The Role As 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. Responsibilities: - Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. - Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation - Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs. - Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development. Requirements: - Education: A degree in Computer Science, Statistics, or a comparable quantitative field. - Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment. - Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale. - Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments. - Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders. - Tech Stack: Proficiency in Python, SQL, key ML libraries, and Spark - Mindset: A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create. - Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic' Nice to have: - Previous experience in fraud, fintech, payments, or e-commerce. - Passion for writing well-tested production-grade code - A Master’s Degree or PhD. Why Join Us? - Make an Impact – Your work will directly shape the future of fraud prevention, protecting billions of payments. - Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment. - Innovate at Scale – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible. - Collaborative Culture – Join a team that values curiosity, ownership, and continuous learning. #LI-Remote Benefits in our US offices: - Discretionary Time Off Policy (Unlimited!) - 401K Match - Stock Options - Annual Performance Bonus or Commissions - Paid Parental Leave (12 weeks) - On-Demand Therapy for all employees & their dependents - Dedicated learning budget through Learnerbly - Health Insurance - Dental Insurance - Vision Insurance - Flexible Spending Account (FSA) - Short Term and Long Term Disability Insurance - Life Insurance - Company Social Events - Signifyd Swag Compensation: In 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. Base Salary Ranges by Pay Zone: - Tier 1 (NYC/SF Bay Area/Seattle):  $160,000 - $190,000 annually - Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually - Tier 3 (US - All Other): $140,000 - $170,000 annually Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We 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. [Signifyd's Applicant Privacy Notice](https://drive.google.com/file/d/1HSnMY6HGjB1FNRX4Ez9bUre5mrPPcHIq/view?usp=sharing) ## About Signifyd ## Company Overview - **One-liner**: Signifyd provides an end-to-end Commerce Protection Platform that leverages machine learning to guarantee merchants against fraud and consumer abuse, offering a 100% financial guarantee on shipment decisions. - **Entity Type**: Private (venture‑backed) - **Headquarters**: San Jose, California, USA - **Founded**: Not publicly available on the company site - **Founders**: Mike Liberty and Rajesh Ramanand (Co‑Founder & CEO) ## Core Business - **Primary industry**: E‑commerce fraud prevention and chargeback guarantee - **Target customers**: Online retailers of all sizes (B2B, B2C, enterprise, SMB) - **Mission / purpose statement**: “Empower friction‑free commerce – friction‑free customer experience without worry about fraud and consumer abuse.” ## Products & Services - **Commerce Protection Platform** – SaaS platform that uses machine learning and the Commerce Network to provide real‑time ship/don’t‑ship decisions with a 100% financial guarantee against fraud. - **Guaranteed Fraud Protection** – Flags risky orders and covers chargebacks if a fraudulent order is approved. - **Policy Abuse Prevention** – Detects and prevents abuse of return policies, promotion abuse, and unauthorized reselling. - **Return Fraud & Abuse Protection** – Identifies patterns of fraudulent returns. - **SCA Optimization** – Solutions to optimize checkout under Europe’s Strong Customer Authentication requirements. - **Financial Services Solution** – Extends fraud‑prevention technology to banks and other financial institutions. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed. - **Key Metric (Private)**: Total funding amount not available in provided sources; backed by a strong syndicate of investors. - **Notable Investors / Partners**: Premji Invest, Bain Capital Ventures, Menlo Ventures, American Express Ventures, IA Ventures, Allegis Cyber, Resolute Ventures. - **Growth Signals**: - Sales increased 7% YoY in 2024. - Fraud pressure (risky orders) rose 20% YoY in 2024. - Consumer abuse increased 23% YoY in 2024. - Named the leading provider of payment security and fraud prevention for e‑commerce’s largest brands by Digital Commerce 360 for four consecutive years. - Recognized as one of the 10 Most Innovative Companies in AI by Fast Company. ## Competitive Advantages - **100% financial guarantee** – If Signifyd approves an order that later results in a chargeback, Signifyd covers the loss, removing risk for merchants. - **Large Commerce Network** – Machine learning model is trained on data from thousands of stores and hundreds of millions of transactions, improving accuracy. - **End‑to‑end coverage** – Protects against fraud, policy abuse, return fraud, promo abuse, and unauthorized reselling. - **SCA compliance** – Built‑in solutions for European authentication mandates. ## Strategic Focus - **Expansion into financial services** – Bringing fraud‑prevention innovation to banks and other financial institutions. - **International growth** – Offices in Mexico City, São Paulo, Belfast, London, Budapest, Denver, and New York. - **Continuous AI improvement** – Investment in machine learning and AI to stay ahead of evolving fraud tactics. ## Why Work Here - **4‑day workweek** – All employees benefit from a reduced workweek. - **Remote‑first** – Remote work available to all employees; offices in multiple cities for those who prefer hybrid. - **Competitive compensation** – Cash + equity, generous parental leave (birth, adoption, surrogacy), on‑demand therapy, and an annual Learnerbly stipend for professional development. - **DEI focus** – Company‑wide requirement for diverse interview panels, semi‑annual gender pay equity audits, annual budgets for Employee Resource Groups, and a monthly DEI speaker series. - **Engineering culture** – Top‑flight engineering team constantly improving machine learning technology; transparent career ladders and individual development plans. - **Culture recognition** – Recognized by Forbes, Entrepreneur, Silicon Valley Business Journal, and Inc. Magazine for workplace culture. ## Sources 1. [signifyd.com/about](https://www.signifyd.com/about/) 2. [signifyd.com/careers](https://www.signifyd.com/careers/) 3. [boards.greenhouse.io/signifyd95](https://boards.greenhouse.io/signifyd95) 4. [signifyd.com/life-at-signifyd](https://www.signifyd.com/life-at-signifyd/) 5. 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