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Audio Signal Processing Machine Learning Jobs in Florida

Ucf

Post Doctoral Scholar

Orlando, FL · On-site

$57K/yr

Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video ...

Indeed

Machine Learning Engineer III

Miami, FL · On-site

Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International ...

Core One

Data Scientist

Tampa, FL · On-site

The Data Scientist role involves designing and deploying machine learning models for threat ... natural language processing (NLP), and signal processing techniques to develop multi-domain ...

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

Build and productionize machine learning models that support basketball decision making ... Design and maintain scalable systems and pipelines for data processing, training, inference, and ...

Astrion

Audio Visual Engineer

Hurlburt Field, FL · On-site

... Digital Signal Processors, Microphones, Speakers, Amplifiers, Televisions/Displays, Servers ... Support A/V system integration with underlying IT/network infrastructure aligned to applicable DCWF ...

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$22K

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$128.2K

How much do audio signal processing machine learning jobs pay per year?

As of Jun 2, 2026, the average yearly pay for audio signal processing machine learning in Florida is $63,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $84,400.00 per year, depending on experience, location, and employer.

What is an Audio Signal Processing Machine Learning job?

An Audio Signal Processing Machine Learning job involves applying machine learning techniques to analyze, process, and enhance audio signals. This includes tasks like speech recognition, music classification, noise reduction, and sound synthesis. Professionals in this role work with digital signal processing (DSP), deep learning models, and frameworks like TensorFlow or PyTorch to develop audio-based AI applications. They often collaborate with researchers, engineers, and data scientists to improve audio-related technologies in industries such as telecommunications, media, and healthcare.

What are the key skills and qualifications needed to thrive in the Audio Signal Processing Machine Learning position, and why are they important?

To thrive in Audio Signal Processing Machine Learning, you need a strong background in digital signal processing, machine learning, mathematics, and programming (typically Python, MATLAB, or C++), often supported by a relevant degree in electrical engineering, computer science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), audio processing libraries (like Librosa), and experience using version control systems are highly valuable. Creative problem-solving, strong analytical thinking, and effective collaboration skills will set you apart in this technical and interdisciplinary field. These skills are essential for developing innovative audio processing solutions that meet practical needs in industries like telecommunications, music, and voice recognition.

What are some typical projects or responsibilities for professionals in Audio Signal Processing Machine Learning roles?

Professionals in Audio Signal Processing Machine Learning roles often work on projects such as developing speech recognition systems, designing audio enhancement algorithms, or building music information retrieval solutions. Daily responsibilities may include data preprocessing, feature extraction, model design and training, and evaluating algorithm performance using large audio datasets. Collaboration with software engineers, product managers, or hardware teams is common, as solutions typically need to be integrated into larger products or platforms. These roles also require keeping up with the latest research and continuously tuning models for improved accuracy and efficiency. This variety ensures a dynamic work environment where innovation and technical growth are encouraged.
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Audio Signal Processing Machine Learning jobs near you
Senior Spectrum Manager

Senior Spectrum Manager

Odyssey Systems Consulting Group, Ltd.

Tampa, FL • On-site

Full-time

Posted 27 days ago

Job description

Position Summary
Odyssey Systems is seeking a Senior Spectrum Manager to support advanced situational awareness and Multi-Domain Operations (MDO) programs. This role focuses on the design, analysis, integration, and management of RF spectrum and signal processing systems that enable next-generation battlefield awareness, electronic warfare, and spectrum management capabilities.
The selected candidate will collaborate with a multidisciplinary team of engineers, analysts, and operational stakeholders to develop and integrate systems that combine data from diverse sensors, communications systems, and radar platforms to provide actionable intelligence and operational advantage. The ideal candidate will possess strong technical expertise in RF engineering, signal processing, and spectrum management, along with experience supporting mission-critical DoD programs operating in complex multi-domain environments.
This is a full time position located at MacDill AFB, FL or Ft. Belvoir, VA.
***Contingent upon contract award***
Responsibilities
Duties include, but not limited to:
  • Design and enhance advanced technical systems supporting data collection, signal analysis, and operational decision support across multiple operational environments.
  • Apply modern signal processing, data analytics, and computational methods, including artificial intelligence and machine learning techniques, to process and analyze sensor and RF data.
  • Support the development of integrated and interoperable systems that operate across air, land, sea, cyber, and space domains.
  • Translate operational and mission requirements into technical solutions in collaboration with government stakeholders and subject matter experts.
  • Perform modeling, analysis, and validation of RF and signal processing systems to evaluate system performance and mission effectiveness.
  • Support the integration of sensor systems, communications networks, radar systems, and data processing architectures to enhance situational awareness capabilities.
  • Provide technical guidance and expertise in spectrum management, including RF allocation, interference mitigation, and spectrum planning.
  • Contribute to the development of system architectures and system-of-systems integrations supporting battlefield awareness and electronic warfare operations.
  • Collaborate with cross-functional teams to integrate software, hardware, and analytical components into operational capabilities.
  • Prepare and deliver technical documentation, briefings, and engineering analyses supporting program reviews and leadership decision-making.

***Contingent upon contract award***
Qualifications
Citizenship: Must be a US citizen
Minimum Required Qualifications
Clearance: Active Secret (ability to obtain TS/SCI with CI Poly required)
Education: Bachelor's degree in Electrical Engineering, Computer Engineering, Signal Processing, Computer Science, Physics, or a related technical discipline
Experience: 8 + years of Relevant Experience in RF engineering, signal processing, spectrum management, or sensor systems development
Preferred Qualifications
Education: Master's degree in Electrical Engineering, Signal Processing, Computer Engineering, or related field
Experience: 10+ years of Relevant Experience supporting DoD, Intelligence Community, or defense technology programs
Certifications:
  • Certified Data Professional (CDP)
  • Certified Signal Processing Engineer (CSPE)
  • Other relevant technical or cybersecurity certifications
Technical Skills
  • RF engineering and spectrum management principles
  • Signal processing tools such as MATLAB, Python, or C++
  • Experience with sensor systems including radar, sonar, acoustic sensors, and imaging arrays
  • Knowledge of AI/ML techniques for signal analysis
  • Spectrum allocation, RF interference analysis, and signal analysis techniques
  • Experience with situational awareness platforms and sensor fusion technologies
  • Familiarity with DoD architectures and workflows such as DCGS-A, GIS systems, or multi-intelligence data integration
  • Understanding of System-of-Systems architectures
  • Familiarity with DoD acquisition processes including JCIDS
  • Knowledge of operational tools such as ATAK (Android Tactical Assault Kit)

Interpersonal Skills
  • Strong analytical and problem-solving skills
  • Ability to translate operational requirements into technical solutions
  • Effective collaboration within cross-functional engineering teams
  • Strong written and verbal communication skills for technical briefings and documentation
  • Ability to operate in high-tempo, mission-critical environments

Additional Information
Location: Tampa, FL or Fort Belvoir, VA
Travel: As needed
#LI-SB1
***Contingent upon contract award***
Company Overview
Odyssey Systems is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military's operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care.
Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events.
Please note: Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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