5 дней назад
Senior Machine Learning & Autonomy Engineering (AI/ML)
123 500 - 188 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning & Autonomy Engineering (AI/ML): Developing and deploying machine learning algorithms that detect and classify drone threats for Counter-UAS systems with an accent on RF data processing, digital signal processing, deep learning, and MLOps. Focus on building large-scale data pipelines, denoising and preconditioning spectrograms, analyzing real-world signal data, and scaling reliable detection capabilities.
Location: San Diego, California, United States. U.S. person status or eligibility for an export license is required under ITAR/EAR; U.S. citizenship is required for some contracts.
Salary: $123,500–$188,500 per year
Company
develops autonomous systems and defense technologies across air, land, sea, space, and cyber domains.
What you will do
- Develop, apply, and evaluate machine learning algorithms for detection and signal processing problems.
- Analyze and manage large RF datasets for model training and testing.
- Build data-processing pipelines and automate manual workflows to improve efficiency.
- Apply digital signal processing techniques to denoise and precondition spectrograms.
- Analyze real-world results to identify root causes, statistical trends, and data quality improvements.
- Collaborate with AI/ML, software engineering, research and development, and field test teams.
Requirements
- Master’s degree in machine learning, computer science, applied mathematics, or a related field, plus 3 years of relevant experience.
- Strong foundation in digital signal processing principles and techniques.
- Professional proficiency in Python and experience with machine learning, statistical signal processing, or pattern recognition.
- Strong data-handling skills and experience working with large, complex datasets.
- Good written and verbal communication skills.
- Must qualify as a U.S. person or be eligible for approval of an export license under ITAR/EAR; some positions require current U.S. citizenship.
Nice to have
- Hands-on experience with PyTorch or similar deep learning frameworks.
- Familiarity with MLOps practices, including model training, versioning, and deployment.
- Experience with spectral analysis, adaptive filtering, or detection and estimation theory.
- Exposure to Counter-UAS, radar, electronic warfare, or defense RF systems.
Culture & Benefits
- Medical, dental, and vision coverage.
- 401(k) with company matching.
- 9/80 work schedule.
- Paid holiday shutdown.
- Mission-focused work developing autonomous defense systems.
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