Software Developer

You will be part of our Patent Transactions team in Technology Standards. Our team is mostly focused on securing the best possible patent acquisitions (and related) at the earliest possible dates that are consistent with Technology Standards strategy. We are looking for a Software Developer with expertise in artificial intelligence (AI) and machine learning (ML) to optimize software tools for patent acquisition-related analysis. In this role, you will optimize software solutions on approved platforms that integrate the latest AI and ML methods into patent analysis workflows. You will work with massive datasets-including global patent collections, technical standards, scientific literature, and other technical documents-and optimize tools that automate and enhance tasks such as patent categorization, prior art relevance assessment, technology mapping, and large-scale document evaluation. You will collaborate closely with patent acquisition specialists, data scientists, and domain experts to optimize high-impact tools that scale across millions of documents.

• Optimize software tools on approved platforms that support high-throughput processing of patents, standards, and other technical documents.
• Optimize use of approved AI/ML models-including NLP, semantic search, classification, and similarity models-for extensive patent data analysis.
• Optimize tools on approved platforms enabling targeted and automated patent evaluation workflows.
• Gain deep familiarity with patent structures, claim formats, classification schemes (IPC/CPC), and the global IP information ecosystem

• Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or a closely related technical field.
• Good experience in software development, preferably with exposure to large-scale text processing or information retrieval.
• Strong programming skills in Python, including experience building production-ready tools.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.
• Experience optimizing use of ML models.
• Familiarity with search and retrieval technologies (e.g., Elasticsearch, vector databases, embeddings-based search).
• Experience working with large datasets, databases (SQL/NoSQL), and distributed data-processing frameworks.
• Ability to collaborate effectively with cross-functional teams including data scientists and patent experts.

It would be nice if you also had:

• Background in patent analytics, legal tech, or work involving scientific/technical literature.
• Familiarity with patent data formats, patent classifications (CPC/IPC), and citation networks.
• Exposure to multimodal data processing (text + diagrams) or OCR/OCR post-processing.