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Audio Signal Processing Machine Learning Jobs in Florida

Bespoke Labs

Machine Learning Engineer

Fort Myers, FL · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Tallahassee, FL · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Pensacola, FL · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Lake Worth, FL · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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All JobsAudio Signal Processing Machine Learning JobsAudio Signal Processing Machine Learning Jobs in Florida

Audio Signal Processing Machine Learning information

See Florida salary details

$22K

$63.1K

$128.2K

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

As of Jun 25, 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 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 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 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.

What are the most commonly searched types of Audio Signal Processing Machine Learning jobs in Florida? The most popular types of Audio Signal Processing Machine Learning jobs in Florida are:
What are popular job titles related to Audio Signal Processing Machine Learning jobs in Florida? For Audio Signal Processing Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Audio Signal Processing Machine Learning jobs in Florida look for? The top searched job categories for Audio Signal Processing Machine Learning jobs in Florida are:
Audio Signal Processing Machine Learning jobs near you

AI/ML Software Engineer

Cooperidge Consulting Firm

Sarasota, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Cooperidge Consulting Firm is seeking an AI/ML Engineer for a top Signal Processing/Defense client.

This critical role designs, develops, and implements Artificial Intelligence/Machine Learning solutions for complex Signal Intelligence (SIGINT) processing and decision-making problems. The Engineer focuses on building models for event characterization, anomaly detection, and automated analysis of large-scale sensing systems to deliver intelligent insights for critical Intelligence Community and Department of Defense missions, requiring a high degree of drive and dedication.
Job Responsibilities

  • Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs, including working with time-series data.
  • Develop specialized models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • Work closely with team leads to successfully integrate AI/ML capabilities into enterprise architectures.
  • Ensure performant processing while strictly considering aspects of model accuracy, security, and long-term maintainability.
  • Enable autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments.
  • Discover features and infer system states from underlying data streams to support large-scale sensing systems and deliver intelligent insights.
  • Apply strong knowledge of MLOps, deployment, processing pipelines, testing, and validation to all solutions.

Requirements

Education
  • Bachelor of Science (BS) degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a related field is required.
Experience
  • Minimum of one (1) year of hands-on experience in AI or ML in a professional environment is required (3-5 years preferred).
  • Experience in design, deployment, and support of AI/ML models for significant real-world applications is desirable.
Certifications/Licenses
  • US Citizenship is MANDATORY.
  • Active TS/SCI clearance is MANDATORY.
Skills
  • Strong programming background with experience using statistical and signal analysis libraries is required.
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  • Experience with neural network architectures, including deep learning models, and understanding of transformer architectures is required.
  • Knowledge of digital signal processing fundamentals, RFML, LLMs (fine-tuning, prompt engineering), and adversarial ML techniques is preferred.
  • Experience creating and deploying containerized AI models (Docker/Kubernetes) or working with cloud AI platforms (AWS, Azure, Google) is preferred.

Benefits

  • Full-time roles offering overtime and weekend work opportunities
  • Competitive hourly wages plus potential quarterly bonuses
  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement
  • Employee discount programs and perks

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