Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection.
Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models.
Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production.
Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements.
Contribute to technical design discussions, code reviews, and modeling best practices across the team.
Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure.
Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. MS or Ph.D is a plus.
Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow.
Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches.
Strong understanding of model evaluation, experimentation, and ML fundamentals, including overfitting, regularization, and transfer learning.
Experience with version control (Git), experiment tracking, and reproducible ML workflows.
Ability to communicate technical ideas clearly and work effectively in a cross-functional team.

Benefits

Offers Equity
Offers Bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningdocument classificationimage quality assessmentfield extractionfraud detectionmodel evaluationperformance optimizationPythonCNNs

Soft Skills

communicationcollaborationtechnical design discussionscode reviewsproblem-solvingcross-functional teamwork

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data ScienceMSPh.D