Data Scientist, Computer Vision, Document Verification

Socure

full-time

Posted on: 8/15/2025

Origin: • 🇺🇸 United States

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💰 $120,000 - $140,000 per year

JuniorMid-Level

AWSCloudDockerGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

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.

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.