Mercedes Benz Portland , OR 97228
When you join Daimler, you become a brand ambassador for a diverse global network of over 250,000 committed employees on 6 continents. Our employees drive the future of innovation in each of our world-class brands, including Freightliner trucks, Western Star trucks, Detroit engines and components, Thomas Built Buses, and Freightliner Custom Chassis.
Daimler Trucks North America (DTNA) is the undisputed leader in the commercial vehicle market. We are elevating the industry by setting the bar for quality and execution. Our DTNA employees are empowered to drive the Technology Revolution through our innovative products and customer-focused culture. Our dedication to our customers does not stop once our products hit the road. We immerse ourselves in the customers' experience and what drives their business toward the future.
Daimler. One Team. Best Team.
Driven to connect our world. Apply today!
Come be part of DTNA's Artificial Intelligence/Machine Learning community and work with technical experts, global development teams and IT architects to help develop and execute solutions.
Perform computing tasks as directed by IT technical experts.
The areas of responsibility will be: Big Data Processing, Cloud Computing, Artificial Intelligence/Machine Learning, Data Visualization, System monitoring
Interface with management, business analysts, and stakeholders as required
Develop and provide presentations of findings through visual demo's to senior management
Document all lessons learned from projects and present final project validation
Minimum Junior level in a Bachelor's Program or higher (or have graduated within the past 12 months) required
GPA of 3.0 or higher required
An attached resume is required
Pursuing a degree in Computer Science or Computer Engineering required
Full time availability onsite from January 2018 through July 2018 required
Proficiency in Microsoft Office required
Strong interpersonal skills Self Leadership, and emotional intelligence (EQ) required
Must possess a solid understanding of computer components/architecture with knowledge of NVidia Graphics Processing Units (GPUs) required
Knowledge of statistical data analysis and machine learning techniques (e.g. Baysian Analysis, regression, classification, clustering, time series, deep learning) required
Has experience working with Hadoop, Azure, and Apache Spark required
Must work well within teams and be self-directed to work independently required
Must possess the ability to present detailed information to large groups required
International experience preferred
AI or Machine Learning and or Cognitive Science technical electives preferred
A background in physics/psychology/and statistics preferred
Applicants must be legally authorized to work permanently in the U.S. at the time of application.
Final candidate must successfully complete a pre-employment drug screen and criminal background check.
For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.