Machine Learning II at AeroVironment

Centreville, Virginia, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Aerospace, RoboticsIndustries

Requirements

BS in Computer Vision and Machine Learning or equivalent combination of education, training, and experience in Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
Minimum of 2–5 years' relevant experience
Familiarity with C/C++ and Matlab
Familiarity with office software and computer-based productivity tools
Demonstrated ability to troubleshoot complex systems
Proficiency with a deep learning framework such as TensorFlow or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Proficiency with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency
Computational statistics
Mathematical optimization
Data mining
Exploratory data analysis
Predictive analytics
Works well within defined requirements to complete tasks under moderate supervision
Must be a team player and collaborate effectively
Excellent verbal and written skills
Effective problem-solving, analytical, and interpersonal skills

Responsibilities

Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload
Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems
Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Implement Machine Learning systems and validate designs through a series of purpose-designed experiments
Create objectives and develop models that help to achieve them, along with metrics to track their progress
Perform analysis tasks using AeroVironment and industry developed tools
Manage available resources such as hardware, data, and personnel so that deadlines are met
Analyze the ML algorithms to solve a given problem and ranking them by their success probability
Verify data quality, and/or ensure it via data cleaning
Analyze the errors of the model and designing strategies to overcome them
Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools
Select appropriate datasets and data representation methods; Run machine learning tests and experiments
Work on problems of moderate scope where analysis of situations or data requires a review of variety of factors; Exercise judgment within defined procedures and practices to determine appropriate action
Other duties as assigned

Skills

Key technologies and capabilities for this role

Computer VisionMachine LearningDeep Convolutional Neural NetworksObject DetectionObject ClassificationObject LocalizationVisual TrackingPythonUAV IntegrationData VisualizationModel ValidationOptimization

Questions & Answers

Common questions about this position

What education and experience are required for the Machine Learning Engineer II position?

A BS in Computer Vision and Machine Learning or equivalent combination of education in fields like Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering is required, along with a minimum of 2-5 years of relevant experience.

What key technical skills are needed for this role?

The role requires skills in computer vision, machine learning, optimization, deep convolutional neural networks, visual tracking, and familiarity with C, along with experience developing algorithms for detection, classification, localization, and tracking.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What does the team structure look like for this role?

The role involves working in small, focused design teams with the R&D Group on innovative computer vision and machine learning solutions.

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

Benefits

Health, Dental, & Vision

Health Savings Account

401(k) Account

Alternative Work Schedule

Educational and Tuition Assistance Programs

Employee Assistance Program

Sick Leave Donation

Time Off

Travel Assistance

Company Sponsored Events

Risks

Competition from European drone companies like Parrot may impact market share.

US-China trade tensions could disrupt AeroVironment's supply chain.

BlueHalo acquisition poses integration risks and management distraction.

Differentiation

AeroVironment specializes in unmanned aircraft systems for defense and commercial markets.

The company focuses on sustainability and innovation in autonomous robotic systems.

AeroVironment's acquisition of BlueHalo enhances its defense technology capabilities.

Upsides

Increased demand for Western-made drones boosts AeroVironment's market share.

BlueHalo acquisition enhances AeroVironment's competitive edge in defense technology.

Customizable AI UAVs attract new military contracts with enhanced adaptability.

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