Lead Data Science Product Manager
Health Care Service Corporation
Data Scientist, Computer Vision, Document Verification
Socure
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $140,000 per year
Job Level
JuniorMid-Level
Tech Stack
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.
Requirements
- 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.
