Senior Machine Learning Engineer I / II

Signify

Senior Machine Learning Engineer responsible for building and maintaining ML models at Signifyd. Enhance fraud detection capabilities and collaborate with cross-functional teams for better solutions.

Posted 4/13/2026full-timeRemote • Colorado, Illinois, Washington • 🇺🇸 United StatesSenior💰 $150,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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'

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical evaluationsupervised learningunsupervised learningML pipeline designfraud detectionprototypingmodel monitoringtesting best practicesdocumentation

Soft Skills

communicationcollaborationattention to detailoutcome-oriented mindsettechnical excellence