CNH Industrial is a global leader in industrial goods. We provide farmers with cutting-edge technologies to help them feed a growing world population and we assist in building and rebuilding cities and infrastructures, all with future-proof powertrain solutions. With our Case IH, New Holland Agriculture, Case and New Holland Construction, and FPT Industrial brands, and comprehensive solutions for financing and aftermarket services, we’re driven to meet the needs of our customers.
We are looking for a highly skilled and energetic person to play a key role in improving and
supporting our perception systems for highly automated and autonomous agriculture & construction equipment. You will be joining a research and engineering team to provide critical skills and thinking in improving existing systems and developing new concepts pushing technology forward within the organization. We provide a high degree of autonomy and you will have the opportunity to influence the development of our products and solutions.
This Machine Learning Data Engineer will take responsibility for tasks covering the front portions of the machine learning workflow including: data collection, data ingestion, data pre-processing and validity checking, data storage & access, and data annotation methodologies & techniques. They will be part of a cross-functional team involved in the design and development of tools, processes and infrastructure supporting this. They will work closely with other engineers and scientists applying machine learning to our products and solutions. The role will include work in the following areas:
CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here.
CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.
If you need reasonable accommodation with the application process, please call 1-800-889-4422 option 1 and then option 5, or contact us at email@example.com.
Read about our company’s commitment to pay transparency by clicking this link: pay transparency notice.