Worker Type
Regular
Job Description
NOTE : to qualify for this role, you must be a U.S. Citizen
Summary
The Senior Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (object detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications. These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.
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)
Bachelor’s degree in computer science/engineering, Mathematics, Physics, or related Science or Engineering discipline with 5+ years of relevant experience in machine learning and/or computer vision.
Advanced degree preferred.
5 - 8 years of relevant computer vision experience
Proficiency with Python and C/C++ required
Proficiency with a deep learning framework, preferably PyTorch
Proficiency with basic libraries for computer vision and 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 Jetson processors and other 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 minimal supervision
Must be a team player and collaborate effectively
Excellent verbal and written skills
Has effective problem-solving, analytical and interpersonal skills
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 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
Has effective problem-solving, analytical, interpersonal and communication skills
Focuses on teamwork, collaboration and puts the success of the team above one's own…