Data Scientist, Computer Vision
About the job
Location
Remote - USA, New York
Employment Type
Full time
Location Type
Remote
Department
Data Science
Compensation
- This represents the expected salary range for this job. 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. $115K – $130K • Offers Equity • Offers Bonus
This is a base salary range for this job based on the job requirements.
Base pay is only one component of Socure's compensation and our total rewards package includes equity, benefits, and an annual bonus or a commission plan.
Why Socure?
At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.
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 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 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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Compensation Range: $115K - $130K
