AI Engineer I​/II; Remote

Be part of a team that values safety, inclusion, and excellence.

We are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. As a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.

BNSF | Tech:
Innovating and transforming the future of freight rail.

BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America.

Are you ready to drive change? If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter.

We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us!

Learn more about BNSF and our Benefits.

Job Location: Remote US

Anticipated

Start Date:

01/01/2026

The US base salary range for this full-time position is provided below:

Salary Range: $93,750 - $175,000

The range represents the amount BNSF | Tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.

This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States.

Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF.

This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.

Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.

Data & AI:
Lead our charge into the future as an AI company by transforming our data assets into a real time enterprise.

• Assist in designing, developing, and implementing AI models and algorithms tailored to railroad operations, including predictive maintenance, scheduling, and safety monitoring.
• Collaborate with senior engineers to apply machine learning techniques to analyze large datasets and extract actionable insights.
• Collect, preprocess, and clean data from various sources (e.g., sensors, GPS, maintenance logs) for training AI models.
• Conduct exploratory data analysis to identify trends and patterns relevant to rail operations.
• Build and maintain Extract, Transform, Load (ETL) pipelines for AI applications.
• Work in partnership with data scientists to develop AI-driven solutions to optimize train scheduling, route planning, and fuel efficiency.
• Support the deployment of automation tools for monitoring and managing railroad systems.
• Participate in testing and optimization of AI models to ensure accuracy, reliability, and compliance with safety standards.
• Monitor model performance and assist in troubleshooting issues as they arise.
• Work closely with cross-functional teams, including data scientists, software engineers, business analysts, to understand their needs and enable AI-driven solutions.
• Communicate technical concepts and project updates to both technical and non-technical stakeholders.
• Stay up-to-date with advancements in AI, machine learning, and railroad technologies.
• Participate in training sessions, workshops, and conferences to enhance skills and knowledge.

The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s…