Data Science Intern - Computer Vision & Machine Learning Research
Why Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
Join our applied research team for a summer internship focused on advancing state-of-the-art computer vision and machine learning systems. You will work on challenging real-world problems including advanced document intelligence, synthetic document detection, and anomaly detection in complex visual data.
This role goes beyond academic experimentation — you will design, implement, and evaluate production-relevant models that directly impact high-stakes decision systems. The work spans deep learning architectures such as CNNs, Vision Transformers, multimodal models, and large language models (LLMs) applied to structured and unstructured document data.
You will collaborate closely with senior data scientists and engineers to prototype novel approaches, run rigorous experiments, and translate research ideas into scalable solutions.
What You'll Do
• Designing and evaluating deep learning models for document understanding and synthetic artifact detection
• Applying CNNs, Transformers, and multimodal architectures to real-world datasets
• Experimenting with novel architectures, loss functions, and training strategies
• Performing error analysis and model interpretability investigations
• Contributing to research discussions, technical documentation, and model deployment pipelines
What You Bring
• Current Master’s or PhD student in Computer Science, Electrical Engineering, or related field
• Strong foundation in machine learning and computer vision
• Experience with CNNs, Transformers, or related deep learning architectures (LLM or multimodal experience is a plus)
• Strong Python programming skills. Hands-on experience with PyTorch or TensorFlow
• Demonstrated problem-solving ability and experience running technical or research projects
• Clear written and verbal communication skills
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Apply To this Job
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
Join our applied research team for a summer internship focused on advancing state-of-the-art computer vision and machine learning systems. You will work on challenging real-world problems including advanced document intelligence, synthetic document detection, and anomaly detection in complex visual data.
This role goes beyond academic experimentation — you will design, implement, and evaluate production-relevant models that directly impact high-stakes decision systems. The work spans deep learning architectures such as CNNs, Vision Transformers, multimodal models, and large language models (LLMs) applied to structured and unstructured document data.
You will collaborate closely with senior data scientists and engineers to prototype novel approaches, run rigorous experiments, and translate research ideas into scalable solutions.
What You'll Do
• Designing and evaluating deep learning models for document understanding and synthetic artifact detection
• Applying CNNs, Transformers, and multimodal architectures to real-world datasets
• Experimenting with novel architectures, loss functions, and training strategies
• Performing error analysis and model interpretability investigations
• Contributing to research discussions, technical documentation, and model deployment pipelines
What You Bring
• Current Master’s or PhD student in Computer Science, Electrical Engineering, or related field
• Strong foundation in machine learning and computer vision
• Experience with CNNs, Transformers, or related deep learning architectures (LLM or multimodal experience is a plus)
• Strong Python programming skills. Hands-on experience with PyTorch or TensorFlow
• Demonstrated problem-solving ability and experience running technical or research projects
• Clear written and verbal communication skills
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
Follow Us!
YouTube | LinkedIn | X (Twitter) | Facebook
Apply tot his job
Apply To this Job