Senior Engineer, Senior AI/ML Research-1
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Skills
About the role
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
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.