AeroVironment
Machine Learning Engineer, I
Job Description
Worker Type
Regular
Job Description
Summary
The Machine Learning Engineer I will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing.
Position 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
- Support & 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 and implement appropriate ML algorithms and tools
- Select appropriate datasets and data representation methods; Run machine learning tests and experiments
- Works on problems of limited scope. Follows standard practices & procedures in analyzing situations or data from which answers can be readily obtained
- Other duties as assigned
Basic Qualifications (Required Skills & Experience)
- BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience, with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
- 0 – 2 years’ relevant experience
- Familiarity with C/C++ and Matlab required
- Familiarity with office software and computer-based productivity tools
- Demonstrated ability to troubleshoot complex systems
Other matrixed skills include:
- 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
Other Qualifications & Desired Competencies
- Ability to work within defined requirements to complete tasks under general 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
Physical Demands
- Ability to work in an office and manufacturing environment (Constant)
- Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)
The salary range for this role is:
$89,630 – $127,050
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:
This position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment’s determination that it will be able to obtain an export license in a time frame consistent with AeroVironment’s business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.
Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit:
http://www.avinc.com/myavbenefits
.
We also encourage you to review our company website at
http://www.avinc.com
to learn more about us.
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.
We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.
ITAR
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