IT Specialist (5516)
Lakehurst, NJ · On-site
... machine refreshes. * Provide Technical assistance to customers with software, hardware and ... audio-visual equipment to include conference room set-up for VTCs, phone conferences and both ...
Lakehurst, NJ · On-site
... machine refreshes. * Provide Technical assistance to customers with software, hardware and ... audio-visual equipment to include conference room set-up for VTCs, phone conferences and both ...
Lakehurst, NJ · On-site
... machine refreshes. * Provide Technical assistance to customers with software, hardware and ... audio-visual equipment to include conference room set-up for VTCs, phone conferences and both ...
Lakehurst, NJ · On-site
... machine refreshes. * Provide Technical assistance to customers with software, hardware and ... audio-visual equipment to include conference room set-up for VTCs, phone conferences and both ...
Lakehurst, NJ · On-site
... machine refreshes. * Provide Technical assistance to customers with software, hardware and ... audio-visual equipment to include conference room set-up for VTCs, phone conferences and both ...
An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.
Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.
The most popular types of Audio Machine Learning jobs in New Jersey are:
For Audio Machine Learning jobs in New Jersey, the most frequently searched job titles are:
The top searched job categories for Audio Machine Learning jobs in New Jersey are:

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Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.
It services
1,001 - 5,000 Employees
Hollywood, MD, US