🛠 Tech Stack

💼 About This Role

You'll join a team focused on deep medical document understanding, extracting meaning from unstructured healthcare records. You will design models for entity extraction and document structure analysis, tackling challenges like long-context reasoning and layout-aware NLP. This role blends applied ML, NLP, and product thinking to build intelligent systems at scale.

🎯 What You'll Do

• Develop models for document understanding tasks
• Perform error analysis and data cleaning to improve models
• Collaborate on development roadmap for a capability
• Optimize ML models and integrate into end-to-end pipelines

📋 Requirements

• 6+ years of data science and ML industry experience
• Expertise with Python
• Experience with language models (transformers, LLMs)
• Proficiency with SQL, Numpy, Pandas

✨ Nice to Have

• Experience with document layout analysis
• Experience with Spark/PySpark
• Experience in healthcare industry

🎁 Benefits & Perks

• 💰 Competitive compensation with equity upside
• 🏖️ Remote-first culture
• 🏥 Health insurance coverage

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min