
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, with experience in designing, training, and optimizing models that handle unstructured data. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to build scalable AI systems that can process millions of documents efficiently. You understand the complexities of deploying machine learning models in production environments and are familiar with data engineering principles that ensure high-quality data pipelines.
You thrive in collaborative environments, working closely with product, engineering, and design teams to define requirements and deliver impactful AI features. Your problem-solving skills enable you to tackle real-world challenges such as model robustness, evaluation, and latency, ensuring that the AI systems you develop perform reliably at scale. You are passionate about integrating cutting-edge research into practical applications, particularly in the realm of document intelligence and generative AI.
Desirable
Experience with document-based reasoning and layout detection is a plus, as is familiarity with open-source models and vision-language systems. You are eager to experiment with new technologies and methodologies to enhance the capabilities of AI systems.
What you'll do
In this role, you will design and implement end-to-end machine learning systems that automate document understanding and data extraction. You will work on developing datasets, training models, and creating deployment pipelines that ensure the AI features you build are robust and scalable. Your contributions will directly impact PandaDoc's core AI capabilities, enabling new product experiences for thousands of businesses.
You will collaborate with cross-functional teams to influence roadmap decisions and define the requirements for new AI features. Your work will involve experimenting with frontier models and integrating them into existing systems, ensuring that the solutions you develop are efficient and effective. You will also focus on improving model performance through rigorous evaluation and optimization techniques, addressing challenges related to latency and observability.
What we offer
PandaDoc provides a dynamic work environment where innovation is encouraged, and your contributions will have a significant impact on the company's success. You will have the opportunity to work on cutting-edge AI technologies and be part of a team that is shaping the future of document workflows. We offer competitive compensation and benefits, along with opportunities for professional growth and development in the rapidly evolving field of machine learning.
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, 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 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.

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 role requires experience in machine learning and data engineering.