Machine Learning Engineer

9398BR
PRS Facility Location:
Leased Off - Fort Worth, TX - 397
Job Purpose:
Progress Rail is seeking an experienced Mechanical Engineer to support driving strategy development and deployment utilizing Machine Learning for the Autonomous Train Operation team in Fort Worth, TX
Req ID:
9398BR
Company Description:
Railroads transport goods and people millions of miles every day. At Progress Rail, we believe in going the distance with them. We are looking for talented and innovative team players to address the challenges of the rail industry today, ensuring success for the future. Build a long-term career with opportunities for growth and advancement as part of a vibrant network of close to 200 global locations. Our innovative team members work together to forge the bridge between ideas and success!
As a Caterpillar company, Progress Rail is an integrated rolling stock and infrastructure provider, delivering a full range of products and services to domestic and international railroad customers. Our customers enjoy one-stop shopping and comprehensive railway solutions – whether it rolls on the rail or is the rail itself. From locomotives, transit, freight cars and engines, to tracks, signals and advanced technology, we ensure customers can count on us to meet their needs.
Learn how we keep our customers rolling by following us on Facebook, Twitter, Instagram, YouTube and LinkedIn, and by visiting progressrail.com .
Education / Training:
• Bachelor’s degree in mechanical engineering from an ABET accredited university or college.
• Minimum of 2 years of experience with relevant software development.
Job Title:
Machine Learning Engineer
City:
Ft. Worth
Key Job Elements:
• Responsible for the development, testing, and validating freight train driving strategy utilizing machine learning methodologies.
• Responsible for the development, testing and validating of controller software.
• Collaborate with others to integrate, test and validate machine learning models into execution software, working together with other software, quality, and systems engineers to drive the implementation.
• Design and deploy railway systems in operation both in the United States and abroad with travel of up to 10%.
• Work with the team to create solutions to the most important and meaningful technical problems as they relate to control systems.
• Assess the value of new technologies.
• Elaborate programming documentation and refresh existing documentation.
• Reports to the Director of Artificial Intelligence and works closely with the different engineering groups to deploy practical and highly functional systems for railways.
Qualifications and Experience:
• Mechanical or Systems Engineering background.
• Vehicle dynamics/transportation/control systems solid foundation.
• Python programming language fluency.
• Deep knowledge/experience with Machine Learning/Artificial Intelligence or Industrial IoT systems.
• Strong critical thinking and root cause identification skills.
• Above-average analytical, conceptual, and troubleshooting abilities.
• Skill for writing clean, readable, and reusable code.
• Understanding fundamental design principles behind a scalable application.
• Knowledge/experience with CLI programming
• Knowledge and experience with Unix/Linux platforms
• Understanding of different data ingestion and transformation tools (ETL and ELT).
• Experience developing in Cloud architecture environment.
• Familiarity with AWS services: S3, Batch, EC2, Sagemaker, EBS, etc.
• Knowledge implementing integration and unit tests.
• Strong foundation in version control
• Understanding of CI/CD Tools Including GIT/SVN.
• Solid encounters working in Agile/Scrum Methodology.
• Ability to work well in ambiguous situations.
• Strong inter-relational abilities permitting viable and coordinated effort with developers, operations, and business.
EEO:
Equal Opportunity Employer – Race/Color/Sex/Religion/National Origin/Sexual Orientation/Gender Identity/Vets/Disabilities
Benefits:
Competitive Salary

401(k) plan with up to 6% company match (no waiting period with immediate vesting)

Medical/Dental/Vision/Life/Disability Insurance

Supplemental Accident, Critical Care, and Hospital Insurance available along with an HDHP and HSA with seed money

Flexible Spending Accounts

Paid Vacation

Paid Holidays

Paid Time-Off (PTO)

Employee Assistance Plan

Education Assistance Program

Employee Recognition Programs

Site specific Production and Incentive Plans

Site specific Step and Skill Level Wage Adjustment Plans

Site Specific Relocation and Sign-on Bonus Programs

*Benefits eligibility varies by job position, full-time/part-time and regular/temporary status. The provisions of the plan documents control such benefits.
Job Category:
Information Technology
Work Location Options:
Hybrid, NOT Remote
State::
Texas

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