Worker Type
Regular
Job Description
NOTE : to qualify for this role, you must be a U.S. Citizen
Summary
The Machine Learning Engineer 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 convolutional 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 specific role also involves on-site support for experimentation and fielded systems requiring a significant amount of extended travel, both domestic and international.
Position Responsibilities
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 any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline with 2+ years of relevant experience in machine learning and/or computer vision.
2 - 5 years of relevant computer vision experience
Familiarity with Python and C/C++ required
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
Familiarity with office software and computer-based productivity tools
Ability to work within defined requirements to complete tasks under moderate supervision
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…