The job title is Machine Learning Engineer, and it is a full-time remote position.
The compensation ranges from $200,000 to $230,000 (USD).
The company is a global commerce platform and payments technology company focused on simplifying operational complexities for businesses.
The role involves leading the design and development of a next-generation Risk Platform, focusing on reliability, scalability, performance, and observability.
Responsibilities include owning the architecture and development of the Risk Platform, collaborating with various teams to understand business needs, serving as a hands-on technical leader, and mentoring a global engineering team.
The position emphasizes traditional machine learning system design, particularly model training pipelines, and integration of ML capabilities into the Risk Platform for use cases like fraud detection and credit risk scoring.
Requirements:
Candidates must have 10+ years of experience in software engineering with a proven track record in architecting and delivering complex enterprise platforms.
Deep hands-on experience in backend architecture, cloud computing (AWS and/or Azure), and container technologies (e.g., Kubernetes, Lambda) is required.
Strong experience in building or contributing to risk platforms related to fraud prevention, compliance, or underwriting is necessary.
Demonstrated experience with traditional ML techniques and building production ML pipelines is essential.
Familiarity with Data Engineering and MLOps practices is expected.
Expertise in observability, incident management, and production system metrics is required.
Strong stakeholder management and cross-functional communication skills are necessary.
A Bachelor’s degree in computer science or a related technical field is required; an advanced degree (Master’s/PhD) is preferred.
Benefits:
The position offers a competitive base salary commensurate with experience and eligibility for annual bonuses.
A comprehensive benefits package is provided, including medical, dental, vision, 401(k), tuition reimbursement, wellness programs, and paid time off.
The company emphasizes a commitment to diversity and inclusivity in its hiring practices and workplace culture.
