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. Come join us!

About the Role

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.

What You’ll Do

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.

What You Bring

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.

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.

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