Signifyd - Senior Machine Learning Engineer I // II

Remote - Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote);$160k - $190k+ Equity3mo ago

Remote Senior NA Fintech Payments Machine Learning Engineer Python SQL E-commerce Documentation

Requirements

• Education: A degree in Computer Science, Statistics, or a comparable quantitative field. • Education: • Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment. • 4-6+ years • Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale. • Technical Depth: • Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments. • Execution Focus: • Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders. • Communication: • 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. • Mindset: • Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic' • Attention to detail • Previous experience in fraud, fintech, payments, or e-commerce. • Passion for writing well-tested production-grade code • A Master’s Degree or PhD.

Responsibilities

• Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. • Expand ML Capabilities • Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation • Enable High-Velocity Experimentation • 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. • Collaborate Across Functions • Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development. • Raise the Bar

Benefits

• Make an Impact – Your work will directly shape the future of fraud prevention, protecting billions of payments. • Make an Impact • Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment. • Lead & Grow • Innovate at Scale – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible. • Innovate at Scale • Collaborative Culture – Join a team that values curiosity, ownership, and continuous learning. • Collaborative Culture • Discretionary Time Off Policy (Unlimited!) • 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 • Company Social Events • 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 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually • 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. • Bonus: • We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.