Entry level machine learning serp_jobs.h1.location_city

Worker Type

Regular

Job Description

The Machine Learning Engineer III 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) and other analytics 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 but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

• 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
• 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 any of the following fields : 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.

The salary range for this role is :

136,807 - $194,040

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate’s work experience, education / training, and key skills.

ITAR Requirement :

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we’ve been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world’s most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution’s permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty – and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company’s hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

ITAR

U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.