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Data Scientist II - Computer Vision and Deep Learning - Remote

Posted 2 days ago
Software Development
Full Time
USA

Overview

Socure is on a mission to verify 100% of good identities in real time and eliminate identity fraud from the internet. We are looking for a Data Scientist II with a focus on computer vision and deep learning to join our AI/ML team.

In Short

  • Design and develop machine learning models for computer vision tasks.
  • Experiment with transformer-based architectures and integrate LLMs.
  • Collaborate on end-to-end model pipelines.
  • Analyze complex datasets and apply best practices.
  • Write production-quality code and contribute to ML infrastructure.
  • Stay updated with the latest research and bring new ideas.

Requirements

  • Bachelor’s or Master’s degree in relevant field with 2-5 years of experience.
  • Proficiency in Python and ML frameworks like PyTorch and TensorFlow.
  • Hands-on experience with deep learning models and transformers.
  • Understanding of supervised learning and model evaluation.
  • Experience with Git and reproducible ML pipelines.
  • Familiarity with cloud platforms and containerization is a plus.
  • Strong communication skills and ability to work collaboratively.

Benefits

  • Equal opportunity employer valuing diversity.
Socure logo

Socure

Socure is a pioneering leader in digital identity verification and fraud prevention, utilizing predictive analytics and machine learning to achieve its mission of verifying 100% of legitimate identities in real time while completely eliminating identity fraud online. Recognized as one of the fastest-growing companies, Socure has received numerous accolades, including Forbes 2022 America’s Best Startup Employers and The Forbes Cloud 100. The company serves over 1,000 clients, including top financial institutions and government agencies, providing them with the most accurate fraud detection and identity verification solutions. Socure fosters a culture of innovation and excellence, offering a remote-first work environment with competitive benefits and a commitment to diversity and inclusion.

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