Company Profile Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Position Summary As a temporary employee in our Oceaneering Mobile Robotics (OMR) group, you'll assist with exploring and developing machine learning tools. These tools will aid in the creation of features to help the AGV perceive details about its environment. LOCATION: Role provides the opportunity to work in hybrid environment, working both virtually and in office when required. Duties And Responsibilities Your job responsibilities and projects will be based upon your experience and educational background to provide real life application of your classroom knowledge. You'll be given open ended tasks and expected to find resources to help you achieve the goals with support from a mentor. You will work with a mentor to ensure your developmental goals are met and that you meet your performance expectations. This is an exciting opportunity to learn 'real world' experience and accelerate your career by working with a leader in the oil and gas, aerospace, and entertainment industries. Qualifications REQUIRED: * 3rd or 4th year undergraduate student at an accredited University, pursuing a degree in Engineering. * Minimum 3.0 GPA * Experience with Microsoft Office * Experience with VCS tools like git * Experience with either of the following programming lanaguages: C++, C, Java, Python, Rust, Javascript * Experience with machine learning object detectors such as yolo or similar. * Experience with deploying machine learning models on edge devices such as nvidia jetson computers. * Experience with building, deploying, and interacting with docker containers. * Must be legally authorized to work in the United States without company sponsorship now and in the future * No relocation or housing assistance is being offered. DESIRED: * Exposure to electronics and test bench setups, i.e. powering sensors/computers for interaction between each other. Equal Opportunity Employer All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors. How To Apply Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals.