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Audio Signal Processing Machine Learning Jobs in Florida

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

The successful candidate must have demonstrated understanding of signal processing, data fusion ... Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ...

ENSCO, Inc.

Data Engineer III

Melbourne, FL · On-site

... machine learning, signal processing, monitoring, and operational analytics applications ... audio analytics or classification systems Familiarity with common acoustic data formats and ...

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138.60K - $161.90K/yr

Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI clearance is required so you must meet eligibility requirements for access to classified information.

LaBine and Associates

DSP Engineer

Sarasota, FL

$138.60K - $161.90K/yr

Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI clearance is required so you must meet eligibility requirements for access to classified information.

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138.60K - $161.90K/yr

Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI clearance is required so you must meet eligibility requirements for access to classified information.

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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.
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Audio Signal Processing Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

Other

Posted 9 days ago

Job description

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 3 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
         The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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