Senior Machine Learning Engineer I // II

About the role

Job Description About Signifyd At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, 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 forward with commitment, empathy, and crea…

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.
• 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'
• Previous experience in fraud, fintech, payments, or e-commerce.
• Passion for writing well-tested production-grade code

Where this was posted

• 4 Day Week

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