Socure

Backend Engineer

• At Socure—verify identities and eliminate fraud using ML and predictive analytics.
• Design, build, and maintain scalable data pipelines to collect, clean, transform, and aggregate large-scale device and behavioral signals.
• Build and support real-time velocity systems that compute session-level and user-level aggregations with sub-second latency.
• Develop and manage data infrastructure such as data lakes and data warehouses.
• Optimize data architectures for performance, scalability, cost efficiency, and maintainability.
• Collaborate with ML engineers, data scientists, and product stakeholders to ensure data availability, reliability, and privacy compliance.
• Maintain and enhance orchestration workflows; automate workflows and monitoring systems.
• Ensure data quality, consistency, and security across systems; implement best practices in data modeling, schema evolution, and pipeline observability.
• Document systems and processes for internal use and compliance.

Senior Backend Engineer, Data Engineering

• Socure is seeking a highly motivated and experienced Senior Backend Engineer to join our Digital Intelligence team.
• Design and implement scalable ML pipelines for model training, inference, and evaluation.
• Build and maintain systems for feature engineering, deployment, and monitoring.
• Collaborate with data scientists to transform research prototypes into production-grade models.
• Optimize ML systems for performance, scalability, and cost-efficiency.
• Implement CI/CD and MLOps practices for model versioning, reproducibility, and monitoring.
• Manage ML workflows and pipeline orchestration.
• Partner with product, engineering, data science, and security teams to ensure compliant and reliable model delivery.
• Document systems and processes for team use and compliance.

Senior Backend Engineer, Machine Learning

Full-stack Engineer

• Design and build infrastructure that supports model training, validation, deployment, and serving at scale for Socure’s identity verification platform
• Work with AWS-native technologies focusing on low-latency microservices, automated pipelines, and robust deployment workflows
• Build and maintain scalable systems and infrastructure for deploying and serving ML models
• Design low-latency, fault-tolerant model inference systems using Amazon SageMaker
• Implement safe deployment strategies like blue/green deployments and rollbacks
• Create and manage CI/CD pipelines for ML workflows
• Monitor model performance and system health using AWS observability tools (e.g., CloudWatch)
• Develop internal tools and APIs to help ML teams deploy and monitor models easily
• Collaborate with ML engineers, data scientists, and DevOps to productionize new models
• Participate in code reviews, system design, and platform roadmap discussions
• Continuously improve deployment reliability, speed, and usability of the ML platform

Senior Software Engineer, AI/ML Platform

Product Manager

• At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.
• Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world.
• Principal Product Manager for RiskScores will lead strategy, roadmap, and execution of key product areas within Socure’s Identity Fraud product suite.
• Focus on innovating and evolving RiskScore products to proactively detect identity fraud and enhancing the data lifecycle to improve products.
• Collaborate with cross-functional teams to deliver solutions informed by client needs, market trends, and machine learning techniques.
• Responsible for setting product direction and driving strategic initiatives to simplify using Socure’s products and improving integration efficiency.
• Engage with multiple multidisciplinary Product teams to build scalable solutions that empower other teams and provide customer value.
• Define and own product vision, strategy, and roadmap for Socure’s RiskScores and required components.
• Drive product lifecycle from ideation to launch, ensuring alignment with broader fraud product goals and business priorities.
• Identify and prioritize new opportunities based on customer needs, market gaps, and competitive insights.
• Gather and analyze customer feedback to inform product decisions and iterations.
• Partner with Customer Success, Sales, and Support teams to deepen understanding of user needs and operational pain points.
• Evolve dependent tools and processes to optimize data collection and utilization for continuous model improvement.
• Work closely with Engineering and Data Science to design, implement, and refine features that enhance fraud detection capabilities.
• Collaborate with Go-to-Market teams to develop positioning, messaging, and enablement materials for products.
• Coordinate with compliance and legal teams to ensure product adherence to regulatory standards and data privacy best practices.
• Monitor product performance metrics and client feedback to continuously improve product effectiveness and usability.
• Conduct competitive analysis and track industry trends to ensure Socure remains at the forefront of fraud prevention innovation.

Principal Product Manager, Fraud Risk Scores

Data Scientist

• Lead, mentor, and grow a high-performing team of data scientists, fostering a collaborative and inclusive culture.
• Design, implement, and optimize advanced deep learning model architectures (transformers, CNNs, LSTMs) to solve fraud and risk challenges.
• Develop machine learning models using diverse data modalities (tabular, natural language, point clouds, images).
• Champion feature discovery, feature engineering, and data mining initiatives to extract valuable signals from complex datasets.
• Collaborate with cross-functional teams including product, engineering, and client-facing teams to deliver scalable AI solutions.
• Ensure best practices in ML model development, evaluation, deployment, and monitoring.
• Stay at the forefront of AI/ML and fraud/risk prevention technologies and incorporate emerging techniques.
• Represent Socure as a subject-matter expert in external and internal forums as needed.

Data Scientist II, Fraud and Deep Learning

• Design and develop machine learning models for computer vision tasks such as image classification, object detection, or segmentation.
• Experiment with transformer-based architectures (e.g., ViT, DETR, CLIP) and explore the integration of LLMs in vision or multimodal applications.
• Collaborate with senior scientists and engineers on end-to-end model pipelines; from data preprocessing to training, evaluation, and deployment.
• Analyze large, complex datasets and apply best practices in feature engineering, model tuning, and performance evaluation.
• Write production-quality, well-documented code and contribute to the team’s shared ML infrastructure and tooling.
• Stay up to date with the latest research and bring new ideas to the team through experimentation and applied innovation.

Senior Backend Engineer, Data Engineering

Senior Backend Engineer, Machine Learning

Senior Software Engineer, AI/ML Platform

Principal Product Manager, Fraud Risk Scores

Data Scientist II, Fraud and Deep Learning

Data Scientist, Computer Vision, Document Verification