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

5 - 8 years of relevant experience
Familiarity with C/C++ and Python required
Proficiency with a deep learning framework, preferably PyTorch
Proficiency with basic libraries for machine learning such as scikit-learn and pandas
Proficiency with OpenCV
Familiarity with Linux
Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs
Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization
Ability to perform exploratory data analysis, including visualizing and manipulating large datasets
BS 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)
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
Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
U.S. Citizenship required
Active Secret level (or higher) DoD security clearance
Willingness and ability to travel (Occasionally / Up to 20%)

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
Work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing

Skills

Key technologies and capabilities for this role

C/C++PythonPyTorchscikit-learnpandasOpenCVComputer VisionMachine LearningDeep Learning

Questions & Answers

Common questions about this position

What is the salary for the Machine Learning Engineer III position?

This information is not specified in the job description.

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

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include familiarity with C/C++ and Python, proficiency with PyTorch, scikit-learn, pandas, and OpenCV, as well as familiarity with Linux, Nvidia Tools (CUDA, JetPack, TensorRT), and experience in machine learning/computer vision.

What is the team environment like at AeroVironment?

The role is in a fast-paced, deadline-driven environment where small teams share a broad variety of duties, requiring team players who collaborate effectively.

What experience and qualifications make a strong candidate?

Candidates need 5-8 years of relevant experience, a BS in Computer Science/Engineering, Mathematics, Physics or related field (advanced degree preferred), and skills in ML/computer vision, plus strong problem-solving, analytical skills, and ability to work under minimal supervision.

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