Nvidia Machine Learning Internship Jobs in Virginia

The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This role also involves support for experimentation and fielded systems requiring travel, both domestic and international.

Duties

• Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)
• Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:
• Analyze ML algorithms to solve a given problem and rank them by their success probability on new data
• Set objectives and develop models that help achieve them, along with metrics to track their progress
• Select appropriate datasets and data representations
• Analyze errors of the data, model, and design strategies to overcome them
• Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other systems
• Other duties as assigned

Basic Qualifications (Required Skills & Experience)

• BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
• Minimum of 2 - 5 years' experience, and 2+ years of relevant experience in machine learning and/or computer vision
• Proficiency with a deep learning framework, preferably PyTorch
• Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas
• Familiarity with Linux
• Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs
• Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization
• Ability to perform exploratory data analysis, including visualizing and manipulating large datasets

Other Qualifications & Desired Competencies)

• Must be a team player and collaborate effectively
• Excellent verbal and written skills
• Has effective problem-solving, analytical and interpersonal skills
• Ability to work within defined requirements to complete tasks under moderate supervision
• Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
• Displays strong initiative and drive to accomplish goals and meet company objectives
• Takes ownership and responsibility for current and past work products, and demonstrates a willingness to share the results with other team members and provide feedback and input to teammates working similar problems.
• Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
• Familiarity with office software and computer-based productivity tools

Special Requirements

• U.S. Citizenship required
• Ability to obtain (at minimum) a Secret level DoD security clearance
• Willingness to travel (Occasionally / up to 20%)

Physical Demands

• Ability to work in an office and manufacturing environment (Constant)
• Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)

Clearance Level No ClearanceThe salary range for this role is: $102,000 - $144,375