PandaDoc

About PandaDoc

Streamlining document workflows for growing organizations

🏢 Retail, Tech👥 251-1K📅 Founded 2013📍 San Francisco, California, United States

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 ...

PandaDoc

Machine Learning Engineer Mid-Level

PandaDocEurope - Remote

Apply Now →

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 position 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. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build scalable AI systems that automate document understanding. Your understanding of natural language processing (NLP) allows you to tackle complex challenges in document-based reasoning and data extraction.

You thrive in collaborative environments, working closely with product, engineering, and design teams to define requirements and ship impactful AI features. You are comfortable experimenting with cutting-edge models and integrating them into production systems, ensuring they perform reliably at scale. Your problem-solving skills enable you to address model robustness, evaluation, and deployment complexities effectively.

What you'll do

As a Machine Learning Engineer at PandaDoc, 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, from datasets and training to inference and deployment pipelines. Your contributions will directly power PandaDoc's core AI capabilities, enhancing document workflows for tens of thousands of businesses.

You will tackle real-world ML challenges, focusing on model robustness, evaluation, and latency while ensuring observability and quality in AI systems. Your role will involve experimenting with frontier and open-source models, integrating vision-language systems, and building efficient pipelines for inference and fine-tuning. You will have high ownership and impact, influencing roadmap decisions and collaborating with cross-functional teams to deliver production-ready AI features.

What we offer

PandaDoc offers a dynamic work environment where you can make a significant impact on the future of document intelligence. We provide opportunities for professional growth and development, encouraging you to explore new technologies and methodologies in the field of AI. Join us in shaping the next generation of intelligent document workflows and be part of a team that values innovation and collaboration.

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