Senior Engineer, Senior AI/ML Research-1

About the role

About the role

As a Senior AI/ML Research Engineer, you will apply advanced AI/ML methods to engineering and industrial use cases. You will combine research, experimentation, evaluation, and production grade software engineering to turn promising models, methods, and existing tools into reliable, agent-accessible capabilities.

This role is ideal for a technically strong researcher and builder who can move from an engineering problem to a validated approach, then help convert that approach into a reusable production component.

What you will do

• Apply AI/ML methods to challenging engineering and industrial use cases.
• Research, prototype, and evaluate approaches using frontier AI models and related techniques.
• Convert existing models, tools, and analytical capabilities into agent-accessible artifacts.
• Translate successful experiments into reusable software and platform components.
• Design and execute evaluation, benchmarking, and validation approaches.
• Collaborate with data engineers, software engineers, cloud architects, and engineering stakeholders.
• Contribute to requirements, specifications, constitutions, contracts, context, and AI harnesses.
• Use GitHub workflows, automated testing, and CI/CD practices to integrate and validate work.
• Deploy and evaluate capabilities using GCP or comparable cloud services.
• Communicate technical findings through internal documentation, publications, patents, or open-source contributions.

Required qualifications

• Master’s degree or PhD in a relevant technical field.
• Five to eight years of relevant professional experience.
• Experience applying AI/ML methods to engineering, manufacturing, industrial, or comparable technical use cases.
• Experience building agentic AI systems.
• Experience converting models and tools into agent-accessible artifacts.
• Experience with GCP or comparable cloud platforms.
• Experience with GitHub, CI/CD, and automated testing.
• Evidence of technical contribution through publications, patents, or open-source work.

What success looks like

• You deliver validated AI/ML capabilities for multiple engineering use cases.
• You convert selected existing models and tools into reusable, agent-accessible artifacts.
• You establish repeatable evaluation and benchmarking practices.
• You contribute production-ready components to the shared architecture.
• Your work demonstrates measurable value for engineering users.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.