Senior Machine Learning Engineer I // II

About Signifyd Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse risk for retailers. Its solutions provide the transparency and control that brands need to succeed in the rapidly changing world of commerce. Signifyd, which is the leading provider of payment security and fraud prevention for the Top 1000 Retailers for 2024, is headquartered in San Jose, CA, with locations in Seattle, Denver, New York, Mexico City, São Paulo, Belfast and London.

• 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.
• 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.

Required

• 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

Preferred

• Previous experience in fraud, fintech, payments, or e-commerce.
• Passion for writing well-tested production-grade code
• A Master’s Degree or PhD.

• 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.
• 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
• 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.
• 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