Machine Learning EngineerNewport News, VA

The Machine Learning Engineer develops algorithms used 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 and Experience: 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

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 Thomas Steele.

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