7 machine learning jobs at 7 companies in Harrisburg, PA
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Machine Operator Assistant
Carlisle, Pennsylvania, United States
OnsiteFull Time
Lane Enterprises: Manufacturer of metal and plastic drainage and stormwater solutions.
Entry-level manufacturing role; no prior experience required. High-school education preferred. Must lift up to 45 lbs, follow safety and PPE requirements, and be willing to learn equipment operation.
High school diploma or equivalent, high mechanical aptitude, attention to detail; entry-level role learning machining operations (drilling, tapping, milling, broaching, grinding).
Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)
Battle Creek or Whitehall or Wright-Patterson Air Force Base or New Cumberland or Philadelphia or Hill Air Force Base or Fort Belvoir or Richmond
$126k-$187k/yrOnsiteFull Time
Defense Logistics Agency: Manages the global supply chain for the Department of Defense.
1+ YOEBachelor's degree in mathematics, statistics, computer science, data science, or a related field, plus one year of specialized experience equivalent to GS-13.
machine learning, deep learning, data visualization, General Data Protection Regulation (GDPR), National Institute of Standards and Technology (NIST), Office of Management and Budget (OMB)
Plastic Injection Molding Processing Apprentice - York, PA
York, Pennsylvania, United States
$23-$25/hrOnsiteFull Time
Engel: Manufactures injection molding machines and automated production systems.
Mechanically inclined candidates; trade school or manufacturing/machine operation experience preferred; comfortable in a manufacturing environment and eager to learn technical skills.
Messiah University: Private Christian university offering undergraduate and graduate degree programs.
Part-time student worker in theatre production; willing to operate power tools and sewing machines; lift up to 25 lbs; team-oriented; learn and adapt; additional training available.
Pennsylvania State University: Public research university providing academic education and research.
0+ YOERecent PhD (0-3 years) in health-related or quantitative field, experience with large data, SAS/R/Python and SQL skills, machine learning, strong statistical and communication skills.