Machine Learning EngineerNewport News, VA | Job ID 37488

The Machine Learning Engineer develops algorithms to analyze and predict system / component health, machine performance, and application metrics for large mining haul trucks.

Responsibilities

• Develops real time and post processing algorithms used to analyze machine data for failure prediction of electrical and mechanical equipment used on large mining haul trucks.
• Develops algorithms used to analyze machine performance, efficiency, and application metrics.
• Creates documentation to describe algorithm design.
• Interfaces with other groups (Mechanical, Electrical, Software, Hydraulic, etc.) to create specifications that outline algorithm functions.
• Evaluates alternative Machine Learning tools and models.
• Works independently and as a team member with other engineers, designers, and production personnel or on ad hoc projects.
• Participates in Engineering Development Program.

Competencies

Education: A Master of Science Degree or Master of Engineering Degree (M.S. / M.E. in Computer Science, Computer Engineering or similar) is preferred, or a Bachelor of Science Degree (B.S. in Computer Science, Computer Engineering or similar).

• Ability to apply various techniques such as linear regression, classification, random forest, neural networks and other techniques to derive algorithms.
• Knowledge of a broad set of algorithms and applied mathematical techniques.
• Knowledge of probability and statistics.
• Knowledge of Big Data techniques and tools.
• Knowledge of high-level software languages (e.g. Java, C/C++, etc.).
• Knowledge of scripting languages (e.g. MATLAB, Python, Bash, etc.).
• Knowledge of unit testing and software validation techniques.
• Knowledge of source control systems (e.g. Git, Subversion).
• Ability to work with software configuration management processes and workflows preferred but not required.
• Knowledge of software development standards/guidelines (e.g. CMMI) preferred but not required.
• Knowledge of heavy machinery or automotive preferred.
• Ability to write specifications that describe software function.
• Ability to read and interpret documents such as safety rules, operating and maintenance manuals, and procedure manuals, software specifications.
• Knowledge of Agile and Waterfall software development lifecycles and V-model methodology and their required workflows and tools.
• Is expected to travel nationally and internationally up to 20% to customer sites, supplier sites, or regional proving grounds.
• Ability to complete and maintain mine certifications or safety training such as Mine Safety and Health Administration (MSHA) hazard training.
• Ability to obtain and maintain driver’s license and passport.

Our Offer

Salary Range: $92,605.00 - $ 102,176.00

An interesting and ambitious role in a successful international company. We offer a secure work environment with a comprehensive benefits package that includes major medical, dental and vision insurance, 401K plan with company match, paid vacation and personal days and competitive salary.

Referral Bonus: Tier I

Have we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Nicole Alden at: [email protected]

Liebherr is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Liebherr - One Passion. Many Opportunities.