Socure is looking for a Senior Software Engineer to join our AI/ML Platform team. You will design and build the core infrastructure that supports model training, validation, deployment, and serving at scale. Your work will enable the safe and efficient delivery of machine learning models into production, directly supporting our mission to verify identities and eliminate fraud.
What You'll Do
- 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.
- 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.
What We're Looking For
- 4+ years of experience as a software engineer.
- 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.
- Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration.
- 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).
Nice to Have
- Familiarity with Go or Rust.
- Experience building internal ML platform services or self-service tooling for model deployment and monitoring.
- Understanding of model optimization techniques (e.g., TorchScript, ONNX, quantization, batching).
- Experience with feature stores, real-time feature serving, or caching systems for ML workloads.
- Background in deploying ML models into high-availability, mission-critical environments.
Technical Stack
- Languages: Python, Go, Rust
- ML Platforms: Amazon SageMaker
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Cloud & Infrastructure: AWS
- Data Stores: SQL, NoSQL, Snowflake, Redshift
- Practices: CI/CD
Team & Environment
You will join the AI Platform team, collaborating closely with machine learning engineers and data scientists to build robust, scalable infrastructure.
Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
