# Senior Machine Learning Engineer I // II at Signifyd

- Company: Signifyd
- What the company does: Never worry about fraud again. Signifyd helps ecommerce businesses approve more orders, prevent fraud & abuse, and grow with confidence - 100% financially backed. Backed by a16z and Menlo.
- Company website: https://www.signifyd.com
- Type: Startups (AI role)
- Level: Senior
- Location: Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote);
- Work setup: Remote
- Pay: $160K to $190K base salary per year (USD)
- Posted: 2026-04-13
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/signifyd95/jobs/7586185
- Page: https://www.1752.vc/careers/jobs/signifyd-senior-machine-learning-engineer-i-ii/

## About 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.

## What they're looking for

- 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

Tags: Machine Learning Engineering