
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 ...
π Benefits
PandaDoc offers competitive salaries, equity options, unlimited PTO, and a flexible remote work policy, allowing employees to maintain a healthy work-...
π 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 in designing and optimizing AI systems that automate document understanding. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and PyTorch, enabling you to build scalable, production-grade models. Your understanding of natural language processing (NLP) allows you to tackle complex challenges in document intelligence, and you are comfortable working with large datasets to extract structured information.
You thrive in collaborative environments, working closely with product, engineering, and design teams to define requirements and ship production AI features. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective team player. You are passionate about applying cutting-edge research to real-world problems and are eager to experiment with frontier models and technologies.
What you'll do
In this role, you will design, train, evaluate, and optimize machine learning models that transform unstructured documents into high-quality structured data. You will work across the full stack of model development, including datasets, training, inference, and deployment pipelines. Your contributions will directly power PandaDocβs core AI capabilities, from layout detection and OCR to structured extraction and document-based reasoning.
You will tackle real-world ML challenges, focusing on model robustness, evaluation, latency, and observability. Your work will involve integrating vision-language systems and building efficient pipelines for inference and fine-tuning. You will have high ownership of your projects, influencing roadmap decisions and ensuring that the AI systems you develop perform reliably on millions of documents.
What we offer
PandaDoc offers a dynamic work environment where you can make a significant impact on the future of document workflows. You will have the opportunity to work with a talented team of professionals who are passionate about leveraging AI to improve business processes. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of intelligent document automation.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at PandaDoc.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
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.

Machine Learning Engineer
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, and this role requires experience in machine learning and data engineering.

Machine Learning Engineer
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.

Machine Learning Engineer
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 position requires experience in machine learning and data engineering.

Machine Learning Engineer
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 data into structured insights. This role requires experience in machine learning and data engineering.