Machine Learning, Software Engineer (Remote)

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Requirements:

• 3+ years of experience in machine learning engineering, ideally in production environments.
• Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications.
• Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases).
• Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment.

Responsibilities:

• Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows.
• Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval.
• Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition.
• Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows.
• Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance.
• Monitor and improve the performance and scalability of deployed models.
• Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models.
• Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges.