Senior Backend Engineer, Machine Learning

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September 3

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Socure

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Artificial Intelligence • Security • Finance

Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🔐 Security

💸 Finance

💰 $450M Series E on 2021-11

📋 Description

• 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.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field. • 5+ years of experience building and deploying machine learning systems in production. • Proficient in Java, or Go, with experience using production-grade ML frameworks. • Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar tools. • Strong understanding of AWS services including SageMaker, Glue, EMR, Lambda, and Step Functions. • Experience with orchestration tools such as Airflow or AWS Step Functions. • Deep understanding of MLOps concepts including deployment automation and experiment tracking. • Solid knowledge of data structures, algorithms, and distributed computing. • Strong problem-solving and communication skills.

🏖️ Benefits

• $170K – $185K • Offers Equity • Offers Bonus