
About PandaDoc
Streamlining document workflows for growing organizations
Key Highlights
- Over 35,000 customers including Cisco and HubSpot
- Headquartered in San Francisco, California
- Raised $50M+ from investors like Rembrandt Venture Partners
- Offers unlimited PTO and flexible remote work options
PandaDoc is a document workflow automation platform headquartered in San Francisco, California, that serves over 35,000 organizations, including notable clients like Cisco and HubSpot. The platform streamlines the creation, management, and signing of digital documents such as proposals, quotes, and ...
🎁 Benefits
PandaDoc offers competitive salaries, equity options, unlimited PTO, and a flexible remote work policy, allowing employees to maintain a healthy work-...
🌟 Culture
PandaDoc fosters a remote-friendly culture that emphasizes collaboration and innovation, encouraging employees to contribute ideas and take ownership ...
Skills & Technologies
Overview
PandaDoc is hiring a Machine Learning Engineer focused on Document Intelligence and Applied GenAI to design and optimize AI systems for document workflows. You'll work with technologies like Python and TensorFlow to transform unstructured documents into structured data. This role requires experience in machine learning and data engineering.
Job Description
Who you are
You have a strong background in machine learning and data engineering, with experience designing and optimizing models for real-world applications. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to tackle complex challenges in document intelligence and AI integration. You understand the intricacies of model training, evaluation, and deployment, and you're passionate about bringing cutting-edge research into production.
You thrive in collaborative environments, working closely with product, engineering, and design teams to define requirements and ship impactful AI features. Your problem-solving skills enable you to address model robustness, latency, and observability, ensuring that AI systems perform reliably at scale. You are familiar with the latest advancements in NLP and document processing, and you are eager to experiment with frontier models and integrate them into existing workflows.
What you'll do
As a Machine Learning Engineer at PandaDoc, you will design, train, evaluate, and optimize machine learning models that automate document understanding and data extraction. Your work will directly contribute to the development of scalable AI systems that enhance document workflows for thousands of businesses. You will be responsible for the full stack of model development, from datasets and training to inference and deployment pipelines.
You will tackle real-world challenges in model evaluation and deployment, ensuring that AI systems can handle millions of documents with high accuracy and efficiency. Your role will involve experimenting with advanced models and integrating vision-language systems to improve document processing capabilities. You will also influence roadmap decisions and collaborate with cross-functional teams to define and implement AI features that meet user needs.
What we offer
PandaDoc provides a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work on impactful projects that shape the future of document intelligence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and skills. Join us in transforming how businesses interact with documents through AI-driven solutions.
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