Senior Machine Learning Engineer I // II

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 each 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 majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, 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 seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning reputed company.

The Role

As a Senior Machine Learning Engineer, you will be a driver of technical execution reputed company 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.

Responsibilities

• Expand ML Capabilities – Identify, prototype, and integrate 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 align 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 scale.
• Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale 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 Spark
• reputed company: A strong outcome-oriented reputed company—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'

reputed company to have

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

Why Join Us?

• reputed company an Impact – Your work will directly shape the future of fraud prevention, protecting billions of payments.
• reputed company & Grow – Drive high-visibility initiatives and reputed company leadership skills in a fast-paced, high-growth environment.
• reputed company at Scale – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible.
• Collaborative 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 Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for reputed company & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• reputed company Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company reputed company Events
• reputed company Swag

Compensation

In the United States, each work location is assigned a specific pay zone, which determines the salary reputed company for a given position. The starting reputed company salary for the selected candidate will be based on a variety of factors, including job-reputed company skills, experience, qualifications, geographic location, and reputed company market conditions.

reputed company Salary Ranges by Pay Zone

• 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 - reputed company 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 reputed company salary.

We want to reputed company an inclusive interview experience for reputed company, including people with disabilities. We are happy to reputed company reasonable accommodations to candidates in need of individualized support during the hiring process.

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