> Markdown version of [/jobs/ext/2115415-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2115415-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Signifyd - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Fraud Prevention and Detection, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Apache Spark, Scikit Learn, Information Technology, Machine Learning Operations, Unsupervised Learning - **Published:** August 19, 2026 - **Apply:** https://job-boards.greenhouse.io/signifyd95/jobs/7586185 ## About the Role 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., * 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. ## Description 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., 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., * 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., * 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 ## Related Videos - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Unleashing the power of AI to prevent financial crime](https://www.wearedevelopers.com/videos/1088-unleashing-the-power-of-ai-to-prevent-financial-crime) ## Related Articles - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)