Sr/Staff AI Engineer (Remote - US)

BNSF Railway•,

1d•$165,000 - $300,000•Remote

About The Position

BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America. This role is part of a team that values safety, inclusion, and excellence. BNSF is 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. 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. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Requirements

Authorized to work in the US.
Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience.
Strong in programming languages such as Python, R, or Java.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures.
Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments
Strong knowledge of databases (SQL and NoSQL)
Strong knowledge of Mlops ecosystem
Strong understanding of generative AI models
Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings)
Strong in GenAI tools and frameworks (LangChain, LangGraph)
Strong in Vector Databases and embeddings
Familiar with Agentic architecture
Analytical Skills: Ability to interpret complex datasets and derive actionable insights.
Problem-Solving: Proven ability to tackle real-world challenges using AI and machine learning techniques.
Communication: Excellent verbal and written communication skills for working with cross-functional teams and stakeholders.

Nice To Haves

Able to work now and in the future without BNSF’s assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status).
Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
Experience with predictive maintenance, anomaly detection, or industrial IoT applications.
Knowledge of railroad operations, transportation systems, or logistics.
Familiarity with MLOps practices and tools for model lifecycle management.
Experience deploying AI systems in production environments with a focus on scalability and reliability.
Previous experience in transportation, supply chain, or infrastructure industries.

Responsibilities

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.
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.
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.
Collaborate with software engineers and DevOps teams to integrate AI solutions into production environments.
Ensure AI systems are robust, reliable, and compliant with railroad industry standards.
Monitor deployed models and systems for performance, scalability, and accuracy, ensuring continuous improvement and reliability.
Troubleshoot issues, retrain models, and implement necessary updates.
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.
Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.
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.

Benefits

An industry-leading 401(k) and renowned Railroad Retirement program.
A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
Access to discounts on travel, gym memberships, counseling services and wellness support.
Annual bonus (Incentive Compensation Program)
Generous leave / time off policies.

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