Senior Machine Learning & Autonomy Engineering
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Regular
Job Description About the RoleAero Vironment is seeking a Senior AI/ML Engineer to support the development and deployment of machine learning algorithms that detect and classify drone threats for our Counter-UAS systems. You will work with large-scale RF datasets, applying DSP techniques for denoising and preconditioning spectrograms, building data pipelines, and identifying opportunities to automate manual workflows. This role sits at the intersection of signal processing, statistics, deep learning, and MLOps, working closely with our San Diego AI/ML team, SW engineers, and field test teams to train models, improve data quality, and scale our detection capabilities.
Responsibilities- Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems
- Analyze and manage large datasets to support model training and testing
- Identify opportunities to automate data processing workflows and improve team efficiency
- Apply Digital Signal Processing (DSP) principles to assist in algorithm development
- Analyze results from real-world data to identify root causes, statistical trends, and insights
- Collaborate with multidisciplinary teams in research and development efforts
- Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience
- Strong foundation DSP principles and techniques
- Proficiency in Python; MATLAB experience is a plus
- Work experience with machine learning, statistical signal processing, or pattern recognition
- Strong data handling skills and instincts for working with large, complex datasets
- Curiosity and motivation to experiment with new approaches and automation strategies
- Good written and verbal communication skills
- Hands-on experience with PyTorch or similar deep learning frameworks
- Familiarity with MLOps practices (model training, versioning, deployment)
- Experience with spectral analysis, adaptive filtering, or detection/estimation theory
- Demonstrated ability to propose creative solutions to data or workflow challenges
- Exposure to Counter-UAS, radar, EW, or defense RF systems
- Passion for building impactful products that serve real-world missions
No Clearance
The salary range for this role is:
$123,500 - $188,500
Aero Vironment 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 RequirementThis 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 Aero Vironment’s determination that it will be able to obtain an export license in a time frame consistent with Aero Vironment’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.
- medical
- dental vision
- 401K with company matching
- a 9/80 work schedule
- paid holiday shutdown
For more information about our company benefit offerings please visit:
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Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).