Sr​/AI Engineer; 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 supporting the movement of essential products and materials that help feed, clothe, supply, and power communities across America and the world.

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!

Job Location:

Remote US

Anticipated

Start Date:

06/01/2026

Salary Range: $165,000 - $300,000 (L5 $ 165,000 - $220,000; L6 $ 225,000 - $300,000). The range represents the amount BNSF Tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role.

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 non‑immigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.

AI Development and Implementation

• Assist in designing, developing, and implementing AI models and algorithms tailored to railroad operations, including predictive maintenance, scheduling, and safety monitoring.
• Build scalable AI systems to analyze real‑time data from rail infrastructure, rolling stock, and IoT devices.

Data Collection and Analysis

• 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.

Optimization and Automation

• Fine tune and optimize algorithms to streamline train scheduling, route planning, and fuel efficiency.
• Support the automation of operational processes and decision‑making using AI‑powered tools.

System Integration and Deployment

• Collaborate with software engineers and Dev Ops teams to integrate AI solutions into production environments.
• Ensure AI systems are robust, reliable, and compliant with railroad industry standards.

Performance Monitoring and Improvement

• Monitor deployed models and systems for performance, scalability, and accuracy, ensuring continuous improvement and reliability.
• Troubleshoot issues, retrain models, and implement necessary updates.

Collaboration and Communication

• 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.

Research and Innovation

• Stay updated on emerging AI technologies and trends to identify opportunities for innovation in rail transportation.
• Conduct research and propose new methodologies for solving complex railroad challenges.

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 duties.

• Authorized to work in the US.
• Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience.
• Technical skills
  • Strong in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch,…