Senior Software Engineer, Document Processing - Jobs in Mount Pleasant

Job Description

LexSelect is a legal technology company founded by two experienced legal tech entrepreneurs and a seasoned litigator. Our mission is to make life easier for legal professionals and enable greater access to legal services for all. Our AI-powered platform automatically searches, contextualizes and extracts texts from unstructured documents and seamlessly integrates into the daily workflows of legal professionals. We are looking for our third engineering team member to contribute to building the core structures of our software, spearheading new feature implementation, and helping shape the company’s long-term technical vision. You’ll develop and optimize algorithms that drive document structure analysis, text extraction, and natural language understanding, contributing to the core technology of our platform. In this role, you’ll have the opportunity to thrive in a startup environment, where you can make a significant impact and grow alongside the company.RequirementsKey Responsibilities:

• Document Layout Analysis: Lead the efforts in analyzing and interpreting complex document structures, which is central to our product.
• Algorithm Model Development: Design and develop algorithm models for extracting and analyzing data from various document formats, optimizing for performance and scalability.
• Text Extraction and OCR: Develop algorithms for text extraction, classification, and design OCR systems to improve accuracy.
• Entity Recognition and Relation Extraction: Work on converting unstructured text into structured data by recognizing entities and their relationships.
• Collaboration: Work closely with other engineers, product team, and stakeholders to integrate solutions into the document processing pipeline.
• Documentation: Maintain thorough documentation of processes, models, and experiments.

Required Qualifications:

• Experience: 5+ years in software development.
• Frameworks: Experience working with modern frameworks like Hugging Face, TensorFlow, and PyTorch, and an ability to apply machine learning techniques to solve real-world problems in document processing.
• Transformer Architectures: Hands-on experience with transformer-based models.
• Document Layout Analysis: In-depth understanding and experience with tools and techniques for document layout analysis.
• OCR Systems: Hands-on experience with OCR technologies.
• Real-world Application: Proven ability to integrate advanced ML techniques into practical applications.

Preferred Qualifications:

• Data Handling: Experience in data preprocessing and working with large-scale, unstructured datasets.
• Cloud Platforms: Experience deploying and scaling solutions on cloud platforms (AWS).
• End-to-End Data Pipelines: Familiarity with the full lifecycle of document processing systems, from data ingestion to production deployment.
• Monitoring: Familiarity with monitoring tools like Prometheus and Grafana.
• Integration: Experience integrating document processing systems into complex software environments, including APIs and microservices.
• DevOps Practices: Experience with CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure automation (Terraform).

Benefits

• Salary range of $120,000-$125,000.
• Meaningful equity stake of 1%–1.20%, rewarding you for contributing to the company #39;s sustained success.
• Comprehensive health and dental benefits.
• Hybrid work environment that encourages in-office collaboration while respecting autonomy to work remotely as needed.