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Sr/Staff AI Engineer

BNSF Railway

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Location

USA

Salary

$165K - $300K

Posted

0d ago

Full-timeOther
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About the Role

The posted range for this position 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. Key responsibilities may include: 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

Skills & Tags

AWSazureclouddata sciencehadoopjavapythonsqlopen sourceAI/MLautomationresearchdata analysisdeep learningTensorFlowNoSQLsparkangular STEMETLdata engineeringsupply chain IoTRcomputer scienceinfrastructuretravelPytorchinsurancemental health
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Job sourced from Remotive