Machine Learning Engineer II

AeroVironment•Centreville, VA

2d•Onsite

About The Position

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. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

Requirements

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
Must be a US citizen
Must be willing to work on government contracts and have the ability to obtain a security clearance.

Nice To Haves

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 learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
Focuses on teamwork and puts the success of the team above one's own interests

Responsibilities

Support development of computer vision and machine learning (ML) algorithms capable of detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms
Implement ML algorithms and validate designs through a series of purpose-designed experiments
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 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