Machine Learning Engineer

Summary

Join our team as a Machine Learning Engineer and lead the design and development of our next-generation Risk Platform. This hands-on leadership role requires driving the technology vision and architecture for a unified, scalable, cloud-native platform supporting risk operations, credit underwriting, and finance risk management. You will collaborate with various teams to integrate ML capabilities into the Risk Platform, focusing on traditional ML workflows and productionization. The ideal candidate possesses extensive experience in software engineering, backend architecture, cloud computing, and building production ML pipelines. This is a full-time, high-impact role offering a competitive salary and a comprehensive benefits package.

Requirements

• 10+ years of experience in software engineering, with a proven track record of 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)
• Strong experience building or contributing to risk platforms or systems related to fraud prevention, compliance, or underwriting
• Demonstrated experience with traditional ML techniques and building production ML pipelines (e.g., feature extraction, model training, deployment, monitoring)
• Familiarity with Data Engineering and MLOps practices
• Expertise in observability, incident management, and production system metrics
• Strong stakeholder management, cross-functional communication, and ability to influence across engineering and product organizations
• Bachelor’s degree in computer science or related technical field; advanced degree (Master’s/PhD) preferred

Responsibilities

• Own and drive the architecture, design, and development of the Risk Platform with a strong focus on reliability, scalability, performance, and observability
• Collaborate closely with the Risk Product and Risk & Compliance teams to deeply understand business needs and translate them into effective technical solutions
• Serve as a hands-on technical leader, setting engineering direction, reviewing design documents, and guiding implementation across teams
• Partner with Data, AI, Security, and SRE teams to ensure system integration, secure architecture, and performance SLAs/SLOs are met
• Build and mentor a high-performing global engineering team; coach on engineering excellence, agile best practices, and high-quality delivery
• Ensure systems meet production-readiness standards and are well-monitored, fault-tolerant, and cost-effective
• Set a high bar for software engineering practices, including automation, code quality, CI/CD, and DORA metrics
• Partner with other product and engineering leaders to drive platform integration across business offerings
• Collaborate closely with the Data and AI Platform teams to integrate ML capabilities into the Risk Platform, supporting use cases such as fraud detection, credit risk scoring, and operational risk modeling

Preferred Qualifications

• Mission-driven with strong empathy, listening, and inclusive leadership style
• Proven experience building and scaling engineering teams in fast-paced environments
• Strong communicator with the ability to articulate complex ideas to technical and non-technical audiences
• Passionate about continuous learning, technical innovation, and improving engineering processes
• Operates with integrity, humility, and accountability

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Tuition reimbursement
• Wellness programs
• Paid time off
• Annual bonuses