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Machine Learning Engineer II
- Progress Rail Services Corp. (Fort Worth, TX)
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10887BR
PRS Facility Location:
Leased Off - Fort Worth, TX - 397
Job Purpose:
Progress Rail is seeking an experienced Machine Learning Engineer to join our Advanced Rail Teechnology Group to support planning, organization, and the management of technical projects. The Machine Learning Engineer will participate in project initiation, planning, execution, monitoring, and closeout activities to support the development of software products in support of the Advanced Rail Technology team in Fort Worth, TX.
The purpose of this position is to contribute to the design, development and deployment of world class rail products and services vital to our customer’s needs. This role will enable innovative, strategic, and high-tech solutions for the rail industry through the application of specialized knowledge, skills, and abilities. Work involves independent judgement, problem solving skills, resourcefulness, teamwork, and creativity in ambiguous situations. A high degree of personal initiative is a prerequisite. Typical project engineering efforts are a combination of some or all of the key job elements listed below.
Req ID:
10887BR
Company Description:
Progress Rail, a Caterpillar company, 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 cradle-to-grave 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 all their rail needs. Forging the bridge between ideas and success, our talented and innovative team members work together to address the challenges of the rail industry today, ensuring success for the future. As part of a vibrant, global network of business operations, each and every member of our team is important to our success. With headquarters in Albertville, Ala., more than 7,000 dedicated employees serve customers through a network of close to 150 locations around the world. For more information, visit www.progressrail.com and follow @Progress_Rail on Twitter and YouTube.
Education / Training:
• Bachelor’s degree in a science, engineering, or technical field from an ABET accredited university or college.
Job Title:
Machine Learning Engineer II
City:
Ft. Worth
Key Job Elements:
• Support the development and execution of new product releases;
• Applies knowledge of engineering principles and practices, in design, development, analysis and release of products and subsystems;
• Interface with the customer and internal stakeholders to understand and create project requirements and deliverables;
• Deploy railway systems in operation both in the United States and abroad with travel of up to 30%;
• Analyze product specifications and decompose requirements to create and maintain a project plan;
• Identify and manage project risk and changes in scope;
• Participate with the Agile team (software, test, product owners) to ensure the timely execution of high-quality deliverables;
• Participate in customer and engineering system requirements development;
• Prepare manuals and other project documentation;
• Mentor, train, and guide others on the team;
• Reports to the Director of Software Deployment and works closely with the different engineering groups to deploy practical and highly functional systems for railways.
Qualifications and Experience:
• 5+ years’ experience in project engineering;
• Proven experience as a Machine Learning Engineer in a technical role;
• Minimum of 5 years’ experience in technical roles;
• Solid understanding of project engineering fundamentals and best practices;
• Above-average analytical, conceptual, and troubleshooting abilities;
• Excellent written and verbal communication skills;
• Detail oriented, with a solid track record prioritizing and executing tasks under pressure;
• Previous experience working in an Agile team.
Essential and Physical Activities Functions:
• Strength – Position typically involves work in a standard office environment. Position also requires the
ability to install rack-mounted 4U test stand components. Constant sitting. Occasional standing and
walking;
• Motion – Position regularly requires standard motions associated with working for extended hours in an
office environment and in front of a computer. Work on test stands requires standing and bending for extended periods;
• Vision/Hearing Requirements – Ability to distinguish colors on various screen types. Frequent verbal
communications, including both talking and hearing. Ability to participate in web-based meetings where audio quality is diminished. Ability to communicate in a noisy environment with coworkers;
• Work Environment – Position is consistent with standard office environment;
• Emotional Demands –Requires ability to work with a team to accomplish mission success;
• Safety – Position includes safety requirements consistent primarily with a standard office environment.
EEO:
Progress Rail is an Equal Opportunity Employer, including Veterans and Individuals with Disabilities.
Benefits:
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance, and experience. Please note that salary is only one component of total compensation at Progress Rail.**
+ 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._
_**Subject to position, eligibility, and plan guidelines._
Job Category:
Engineering
State::
Texas
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Machine Learning Engineer II
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