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Audio Signal Processing Machine Learning Jobs in Florida

Indeed

Machine Learning Engineer

Miami, FL

You improve search and retrieval quality using real user signals. Execution includes experiments ... process. The range(s) listed is just one component of Indeed's total compensation package for ...

Navstar

Machine Learning Engineer

Pembroke Pines, FL

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models ... And create joy in the process. What You'll Do * Develop AI-driven reasoning agents and frameworks ...

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Audio Signal Processing Machine Learning information

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$22K

$63.1K

$128.2K

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

As of Jun 1, 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.
More about Audio Signal Processing Machine Learning jobs
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:
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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 - TS/SCI

StaffRight Associates, LLC

Sarasota, FL

Other

Posted 4 days ago

Job description

The Opportunity

StaffRight Associates has partnered with an elite defense innovator to secure a high-caliber AI/ML Software Engineer capable of transforming complex signal intelligence data into actionable, automated insights. In this critical role, you will architect and deploy cutting-edge intelligent systems that support high-stakes Department of Defense and Intelligence Community missions. This is a rare opportunity to directly impact national security by building adaptive, self-governing analytical models that operate in highly dynamic, real-time environments.

What You’ll Do

  • Architect and implement advanced artificial intelligence and machine learning architectures optimized for sophisticated intelligence parsing and tactical choice-generation.

  • Engine predictive models using continuous data streams to execute anomaly detection, recognize intricate operational patterns, and classify complex, time-dependent events.

  • Integrate intelligent analytical pipelines seamlessly into large-scale enterprise frameworks, balancing high-speed execution with rigorous security protocols and long-term system stability.

  • Synthesize self-governing computational tools capable of processing raw data streams to extract key hidden characteristics and infer operational states with minimal user oversight.

  • Collaborate with cross-functional technical leaders to design comprehensive sensor processing networks that provide clear, intelligent clarity to frontline decision-makers.

What You BringAbsolute Requirements

  • Active TS/SCI Security Clearance and valid United States citizenship (mandatory for consideration).

  • Academic Pedigree: Bachelor of Science degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, Applied Mathematics, or a highly technical equivalent field.

  • Professional Experience: A minimum of 1 year of professional, hands-on exposure building machine learning infrastructure (3 to 5 years of established pedigree preferred).

  • Technical Mastery: Deep familiarity with model training lifecycle execution and industry-standard machine learning frame-ecosystems (such as PyTorch, TensorFlow, or scikit-learn).

  • Engineering Foundation: Strong programming proficiency alongside direct application of mathematical and signal-processing analytical toolsets.

  • Architecture Familiarity: Proven understanding of advanced deep learning mechanics, neural networks, transformer frameworks, and attention-based mechanisms.

  • Operational Discipline: Comprehensive knowledge of MLOps methodologies, automated data ingestion pipelines, and rigorous validation/testing frameworks.

Highly Advantageous Capabilities

  • Exposure to foundational radio-frequency machine learning (RFML) or traditional digital signal processing.

  • Familiarity training Large Language Models, refining prompt structures, or building advanced multi-modal agent frameworks utilizing RAG, Chain-of-Thought, or multi-agent reinforcement learning.

  • Hands-on proficiency containerizing applications utilizing Docker or Kubernetes, alongside deployment experience across cloud platforms like AWS Bedrock, Azure OpenAI, or Google Vertex AI.

  • Mastery of low-latency model serving, real-time inference optimization, A/B testing, and continuous model performance telemetry.

  • Insight into adversarial AI defense, graph neural networks for network topology analysis, or an established track record of shipping end-to-end ML applications to production.

Joining StaffRight Associates

When you partner with StaffRight Associates in your search for your next role, you’re doing more than pursuing a job, you’re aligning yourself with a team of experts committed to placing top-tier talent in truly impactful positions. We take pride in fostering professional growth and connecting forward-thinking individuals with organizations that value innovation and excellence. We look forward to showcasing your expertise in a way that resonates with our clients and opens the door to meaningful opportunities.

Apply