Senior Software Engineer, AI/ML Platform

Job not on LinkedIn

August 26

Apply Now

Receive Emails with Similar Jobs

Socure

WebsiteLinkedInAll Job Openings

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

• 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

🎯 Requirements

• 4+ years of experience as a software engineer, with at least 2 years focused on low latency and highly available backend systems • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field • Strong fundamentals in data structures, algorithms, and distributed computing principles • Strong analytical and problem-solving skills, with a passion for AI and machine learning • Strong programming skills in Python; familiarity with Go/Rust is a plus • Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration (preferably SageMaker) • Solid understanding of MLOps best practices, including model versioning, testing, deployment, and reproducibility • Experience building and maintaining CI/CD pipelines for ML workflows • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift) • Must be eligible to work in the United States indefinitely without visa sponsorship

🏖️ Benefits

• Market competitive base salary • Equity • Comprehensive benefits • Annual discretionary performance bonus or commission plan