signifyd95
Senior Machine Learning Engineer I // II
At a Glance
- Location
- Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote);
- Work Regime
- remote
- Experience
- 6+ years
- Compensation
- 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually Tier 2 (DC Metro/Aus
- Posted
- 2026-04-13T10:07:35-04:00
Key Requirements
Required Skills
Domain Knowledge
- E-commerce
- Education
Benefits & Perks
through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexi
Requirements
of post-undergrad work experience in a production-grade ML environment.
Proven track record of taking ML projects from research/prototype to high-scale production environments.
Proficiency in Python
SQL, key ML libraries, and Spark
A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create.
Previous experience in fraud, fintech, payments, or e-commerce.
Compensation & Benefits
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.
Responsibilities
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.