Machine Learning Engineer III at AeroVironment

Centreville, Virginia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, AerospaceIndustries

Requirements

BS in Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline (or equivalent combination of education, training, and experience)
Minimum 5-8 years of relevant experience in machine learning and/or computer vision
Familiarity with C/C++ or Python
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
Algorithmic optimization
Exploratory data analysis
Predictive analytics
Advanced degree preferred
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
Effective problem-solving, analytical, and interpersonal skills
Able to excel in a fast-paced, deadline-driven environment
Displays strong initiative and drive to accomplish goals
Takes ownership and responsibility for work products
Committed to learning from mistakes and improving performance
Focuses on teamwork, collaboration, and team success
Ability to work in an office environment (constant); sit/stand for long periods, talk, hear, use hands/fingers for computer/telephone (frequent)
ITAR compliance (access to controlled information)

Responsibilities

Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects from stationary and mobile sensor platforms
Implement ML algorithms and validate designs through purpose-designed experiments
Analyze ML algorithms to solve problems and rank them by success probability on new data
Set objectives and develop models to achieve them, along with metrics to track progress
Select appropriate datasets and data representations
Analyze errors of the model and design strategies to overcome them
Write and test software to support integration of machine learning algorithms into aircraft (e.g., autopilots, payloads) or other systems
Work on all stages of development: requirements definition, concept design, prototyping, detailed design, test and evaluation, validation and verification testing
Other duties as assigned

Skills

Computer Vision

Machine Learning

Deep Convolutional Neural Networks

Object Detection

Object Classification

Object Localization

Object Tracking

Optimization

Visual Tracking

AeroVironment

Develops autonomous robotic systems for defense

About AeroVironment

AeroVironment develops and sells autonomous robotic systems that can perform various missions without human intervention. These systems are designed to enhance operational efficiency, reduce risks to personnel, and provide valuable data to users. The company primarily serves government agencies, defense organizations, and commercial clients, focusing on the defense and aerospace sectors. AeroVironment stands out from its competitors by emphasizing sustainability and environmental responsibility in its business practices, which not only helps the environment but also builds loyalty among employees and customers. The company's goal is to lead the market in intelligent robotic systems while promoting sustainable practices and creating new business opportunities.

Monrovia, CaliforniaHeadquarters

1971Year Founded

$20.3MTotal Funding

IPOCompany Stage

Robotics & Automation, Aerospace, DefenseIndustries

501-1,000Employees