Software Developer optimizing software tools leveraging AI and ML for patent acquisition analysis. Collaborating with specialists and scientists to enhance workflows on approved platforms.
Responsibilities
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
Requirements
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.
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