
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, and 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 deploying AI systems that automate document understanding and data extraction. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and PyTorch, enabling you to build scalable, production-grade models. You understand the complexities of model evaluation and deployment, and you are comfortable tackling real-world challenges in AI systems. Your experience includes working with unstructured data and transforming it into structured formats, which is crucial for enhancing document workflows.
You are a collaborative team player who enjoys working closely with product, engineering, and design teams to define requirements and ship impactful AI features. You have a keen interest in the latest advancements in generative AI and are eager to experiment with frontier models and integrate them into existing systems. Your problem-solving skills are complemented by a strong analytical mindset, allowing you to evaluate model performance and make data-driven decisions.
What you'll do
In this role, you will design, train, evaluate, and optimize machine learning models that enhance PandaDoc's core AI capabilities. You will work on various aspects of model development, including datasets, training, inference, and deployment pipelines. Your contributions will directly impact the automation of document workflows, enabling businesses to extract structured data at scale. You will tackle challenges related to model robustness, latency, and observability, ensuring that AI systems perform reliably on millions of documents.
You will also have the opportunity to influence roadmap decisions and collaborate with cross-functional teams to define the requirements for new AI features. Your work will involve experimenting with cutting-edge research and integrating vision-language systems to improve document intelligence. You will be responsible for building efficient pipelines for inference and fine-tuning models, ensuring that they meet the high standards required for production environments.
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 AI capabilities. You will have the chance to work on exciting projects that leverage the latest advancements in machine learning and generative AI. We offer competitive compensation and benefits, along with opportunities for professional growth and development within the company. Join us in shaping the future of intelligent document workflows and making a difference for tens of thousands of businesses.
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