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Posted 2 weeks agoMachine Learning Engineer II
Centreville, United StatesOn-site
Requirements
- Qualifications (Required Skills & Experience): Bachelor of Science in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline, Minimum of 2-5 years of relevant
- experience in in machine learning and/or computer vision Familiarity with C/C++ or Python required Demonstrated ability to troubleshoot complex systems Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with basic libraries for machine learning such as scikit-learn and pandas Proficiency with OpenCV Familiarity with Linux Visualizing and manipulating big datasets Exploratory data analysis Predictive analytics 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 and communication 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 Is committed to
- From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.
- Must be willing to work on government contracts and have the ability to obtain a security clearance.
Benefits
- Worker Type Regular Job Description Summary The Machine Learning Engineer II 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 detection, classification, localization, and tracking 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 computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking.
- benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.
- We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans.