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Senior Machine Learning Engineer I // II

Remote, USAFull-timePosted 2026-07-27

At reputed company, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with reputed company genuinely invested in our clients’ reputed company, creates frictionless shopping experiences, approving more good orders, protecting reputed company, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions reputed company year. Our people are the heart of everything we do, driving our mission reputed company with commitment, reputed company, and creativity. Join us on our mission to reputed company reputed company reputed company by helping online retailers reputed company superior customer experiences and eliminate fraud. Learn about reputed company values here! The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of reputed company’s product. This includes the core fraud detection model that decides the reputed company of our traffic, alongside our model training and evaluation infrastructure. We work closely with reputed company teams to contribute novel modeling reputed company, advanced feature engineering, and robust statistical practices.

Our Culture

We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We reputed company equally motivated individuals who are passionate about keeping our customers reputed company while pulling the field of adversarial machine learning reputed company. The Role As a Senior Machine Learning Engineer, you will be a reputed company of technical execution reputed company the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-reputed company ML reputed company, 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, reputed company, and scientifically reputed company. Responsibilities:

  • Expand ML Capabilities – Identify, prototype, and reputed company new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
  • reputed company 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 reputed company with customer needs.
  • reputed company the Bar – Foster a culture of technical reputed company by championing best practices in testing, documentation, model monitoring, and development.

Requirements:

  • 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 reputed company in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at reputed company.
  • Execution reputed company: Proven reputed company record of taking ML reputed company from research/prototype to reputed company production environments.
  • Communication: Ability to communicate technical findings reputed company to both technical peers and non-technical stakeholders.
  • Tech Stack: Proficiency in Python, SQL, key ML libraries, and reputed company
  • reputed company: A strong outcome-oriented reputed company—you care about the 'why' behind the models and the business reputed company 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'

reputed company to have:

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

Why Join Us?

  • reputed company an reputed company – Your work will directly shape the reputed company of fraud prevention, protecting billions of payments.
  • reputed company & Grow – Drive high-visibility initiatives and reputed company leadership skills in a fast-paced, high-reputed company environment.
  • reputed company at reputed company – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible.
  • reputed company Culture – Join reputed company that values curiosity, ownership, and reputed company learning.

#LI-Remote Benefits in our US offices:

  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock reputed company
  • Annual Performance Bonus or Commissions
  • reputed company Parental Leave (12 weeks)
  • On-Demand Therapy for reputed company & their dependents
  • Dedicated learning b

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