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Jobs in Magdeburg, Deutschland

Sr/Staff AI Engineer (Remote - US)

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Sr/Staff AI Engineer (Remote - US)
BNSF
Deutschland
Remote
EUR 142.000 - 260.000
Vollzeit
Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading transportation company is seeking an AI specialist to develop and implement machine learning models for railroad operations. The role is remote, and candidates should have a strong programming background and at least 6 years of relevant experience. The company offers an extensive benefits package including health care options, a robust 401(k), and annual bonuses.

Leistungen

401(k) and Railroad Retirement program
Comprehensive health care options
Annual bonus
Discounts on travel and gym memberships

Qualifikationen

  • Minimum 6 years experience in AI/ML development or related fields.
  • Strong understanding of generative AI models and data pipelines.
  • Familiarity with MLOps practices.

Aufgaben

  • Assist in designing and implementing AI models for railroad operations.
  • Collect and clean data for training AI models.
  • Optimize algorithms for train scheduling and route planning.
  • Collaborate with cross-functional teams on AI solutions.

Kenntnisse

Programming languages (Python, R, Java)
Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Data interpretation
Problem-solving using AI techniques
Communication skills

Ausbildung

Bachelor's degree in Computer Science, AI, Data Science, or related field

Tools

AWS
Hadoop
Spark
SQL and NoSQL databases
Jobbeschreibung

Press Tab to Move to Skip to Content Link

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

$165,000 - $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. 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

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.

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.

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 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.
Integration and Deployment
  • 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.
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.

At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment.

Basic Qualifications
  • Authorized to work in the US.
  • 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).
  • 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., 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.
Preferred Qualifications
  • 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.
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).

Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness.

All positions require pre-employment background verification.

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.

Nearest Major Market

Fort Worth

Nearest Secondary Market

Dallas

Job Segment

Logistics, Cloud, Data Analyst, Software Engineer, Supply Chain, Operations, Technology, Engineering, Data

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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