Machine Learning Engineer

• Design, build, and deploy agentic systems that read multi-page engineering drawing sets, including page classification and extraction of parts lists, notes, tables, dimensions, GD&T, and weld symbols.
• Build the tools agents rely on, including image processing, geometry, and CAD registration; determine which parts of a problem belong in code versus in the model.
• Own evaluation across the system using gold datasets, accuracy metrics, LLM-as-judge rubrics, and online checks that flag failures on documents without ground truth.
• Contribute to the full agent lifecycle, including prompt and exemplar design, orchestration, tracing, cost and latency, and production pipelines that move results into the database and applications.
• Combine frontier models, open-source tools, and classical computer vision to build document understanding systems for manufacturing applications., * Hadrian uses AI-assisted tools in recruiting and hiring to organize and analyze recruiting data, and to provide an AI-powered notetaker that records and transcribes interviews and helps coordinate feedback.
• AI tools support the team and are not used to make hiring decisions; all candidate evaluations and hiring decisions are performed by humans.
• If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy.
• Candidate data processed through these tools is subject to the protections described in Hadrian’s Privacy Policy.

• Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of industry experience.
• 5+ years of experience in Machine Learning and/or Computer Vision, with ownership of projects from prototype through production.
• AI-native builder with strong business and product sense.
• Hands-on experience building LLM or VLM-based agents, including tool use, structured outputs, and graph orchestration.
• Experience designing evaluations for non-deterministic systems and using them to determine what ships.

Technologies

• OpenCV, scikit-image
• AWS, Bedrock, GovCloud
• OpenTelemetry, MLflow, Langfuse
• LLM, VLM, OCR, * Experience with classical computer vision (OpenCV, scikit-image, etc.) and with training or fine-tuning detection, segmentation, or OCR models.
• Prior experience with visual document understanding and layout analysis, particularly on technical data or other dense, high-variance documents.
• Previous work in aerospace, defense, or manufacturing, including experience with 3D/CAD/CAM data for manufacturing applications.
• Prior experience running models on AWS, including Bedrock or GovCloud environments.
• Prior experience with tracing and observability for LLM applications using OpenTelemetry, MLflow, Langfuse, or similar tools.
• Strong software engineering skills, including prior web development experience.
• Passion for manufacturing and a belief that the industry needs better software.

• Medical, dental, vision, and life insurance plans for employees
• 401k
• Relocation support may be provided for certain situations, based on business need
• Flexible vacation policy
• Equity