Senior ML Engineer, Computer Vision for Autonomous Systems

Roboticsconnected; Virginia; On-site; USD 130,000 - 198,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K with company matching

9/80 work schedule

Job summary

The Senior Machine Learning Engineer at AeroVironment will lead the development of computer vision and ML solutions for defense and commercial UAV systems. You will work with R&D to design, prototype, test, and validate models that detect, classify, localize, and track objects using gimballed cameras.

Key responsibilities include integrating ML into aircraft systems, exploring data distributions, and evaluating model performance with controlled experiments.

Qualifications

• BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience with qualifications in Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
• Minimum of 5-8 years' relevant experience
• Familiarity with C/C++ and Matlab required
• Demonstrated ability to troubleshoot complex systems
• Familiarity with office software and computer-based productivity tools

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 or other robotic systems
• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect
• 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
• Managing 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
• Performance when deploying the model in the real world; 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 & implement appropriate ML algorithms & tools
• Select appropriate datasets and data representation methods; Run machine learning tests and experiments
• Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors; Demonstrates good judgment in selecting methods & techniques for obtaining solutions
• Other duties as assigned

Skills

C/C++

Python

Mathematical optimization

Computer vision

Data mining

Statistical analysis

TensorFlow

Keras

OpenCV

Linux

Education

BS in Computer Vision and Machine Learning or equivalent

Tools

Matlab

Job description

The Senior Machine Learning Engineer at AeroVironment will lead the development of computer vision and ML solutions for defense and commercial UAV systems. You will work with R&D to design, prototype, test, and validate models that detect, classify, localize, and track objects using gimballed cameras.

Key responsibilities include integrating ML into aircraft systems, exploring data distributions, and evaluating model performance with controlled experiments.