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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. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale.

As a remote-first company, Socure fosters a culture of autonomy, collaboration, and continuous learning. Our teams are empowered to take ownership, move fast, and build technology that drives real-world change. Recognized by Forbes, Deloitte, and Inc. as one of the fastest-growing and most innovative companies in tech, we’re just getting started–come join us.

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Overview

We are looking for a Data Scientist II with a focus on computer vision and deep learning to join our AI/ML team. This role is ideal for someone who is ready to take on impactful machine learning problems and grow into a technical contributor on production-facing models. You’ll work on building and optimizing models using CNNs, transformers, and LLMs to support innovative, data-driven solutions across our products.

Job Summary:

• 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.

Job Requirements:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field with 2–5 years of experience, or a Master’s degree with relevant academic or internship work.
• Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
• Hands-on experience with deep learning models, especially CNNs, and familiarity with transformer models in computer vision (e.g., ViT, CLIP, BLIP).
• Solid understanding of supervised learning, model evaluation, and core ML concepts like overfitting, regularization, and transfer learning.
• Experience working with version control (e.g., Git), experimentation tracking, and reproducible ML pipelines.
• Familiarity with cloud platforms (e.g., AWS, GCP) and containerization (e.g., Docker) is a plus.
• Strong communication skills, curiosity, and the ability to work collaboratively in a cross-functional team.

Salary Disclosure:

Base Salary range: $110,000-130,000

This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. This position is eligible for a generous sales incentive bonus.

Explore SocureLife to learn more and check out Socure’s Career Page.