AI/ML Engineer, Junior

About the Role

AI/ML Engineer - Junior to join the team at USPTO. Assist in developing and evaluating machine learning models, preparing datasets, implementing AI solutions, and supporting the integration of intelligent systems into applications. Work closely with other AI/ML engineers and professionals to solve business problems using modern artificial intelligence and machine learning techniques.

Key Responsibilities

• Collaboration: Work with clients, key stakeholders, and cross-functional teams.
• Technical Performance:
• Feature engineering and model optimization (assisting).
• Analyzing model performance with standard metrics.
• Working with Python, ML libraries, and AI APIs.
• Performing basic NLP, computer vision, or generative AI tasks.
• Prompt engineering and RAG integration.
• SQL and data preparation.
• Basic Git / version control.
• Using AI-enabled dev tools such as Claude Code, Copilot.

Requirements & Tech Stack

• Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related technical field.
• Technical Proficiency:
• Experience with Python, Javascript, Java.
• Experience with AI coding harnesses or related methods for agentic software development.
• Experience with LLM engineering such as prompt design, retrieval-augmented generation (RAG), or agentic frameworks.
• Experience with MLOps concepts, including CI/CD pipelines, version control, and model lifecycle management.
• Experience collaborating in Agile development environments and using modern DevOps tools (e.g., Azure DevOps, GitHub).
• Experience with Amazon Bedrock or similar generative AI platforms.
• Experience working with large language models and prompt engineering.
• Experience with model evaluation and performance optimization.
• Experience developing and integrating APIs.
• Experience using AI-enabled development tools such as Claude Code, GitHub Copilot, or similar technologies.
• Compliance: Obtain Public Trust.

Preferred Expertise

• Experience with document-heavy or structured-data AI applications.
• Experience with federal government IT systems or federal contracting.
• Experience with semantic search or knowledge graph systems.
• Familiarity with accessibility and compliance requirements (Section 508).
• Experience with Azure or AWS cloud platforms (beyond just Bedrock).
• Contributions to open-source ML projects.
• Publications or presentations in AI/ML.