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Entry Level Audio Signal Processing Machine Learning Jobs

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

... captioning, audio description, dubbing, subtitling, and translation. This team makes major ... machine learning, natural language processing, generative AI, signal processing, applied ...

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

... captioning, audio description, dubbing, subtitling, and translation. This team makes major ... machine learning, natural language processing, generative AI, signal processing, applied ...

Description Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams ...

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

POSITION SPECIFICS We are looking for a highly motivated Signal Processing Engineer to join the ... Exposure to spatio-temporal data fusion, applicable database architectures and machine learning ...

In-depth experience applying signal processing and machine learning techniques for audio enhancements in the context of speech communication or music listening. Familiarity with fundamental acoustic ...

We are an eclectic group with backgrounds in signal processing, machine learning, computer science, estimation algorithms, human factors, and more, dedicated to inventing new ways of interacting with ...

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Entry Level Audio Signal Processing Machine Learning information

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How much do entry level audio signal processing machine learning jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level audio signal processing machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:

Deep Learning Engineer II (Multiple Positions) (REF286216I)

Bosch Group

Pittsburgh, PA โ€ข Hybrid

$77K - $104K/yr

Full-time

Posted 12 days ago


Job description

Company Description

Robert Bosch LLC seeks Deep Learning Engineer II (Multiple Positions) at its facility located at 2555 Smallman Street, Suite 300, Pittsburgh, PA 15222. Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals. These sensor signals include, but are not limited to, audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Utilize expertise in machine learning and signal processing to develop innovative algorithms that accurately interpret and respond to these diverse types of data. Manage the development of artificial intelligence (AI) systems integrated with large language models. These AI systems support agentic workflows, automating complex tasks typically performed by human agents. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system's ability to generate relevant and contextually appropriate responses. Collaborate with teams across the organization worldwide to ensure the successful implementation and deployment of these advanced AI solutions on embedded platforms. REQS: This position requires a master's degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals. Additionally, the applicant must have employment experience with: (1) Deep learning and signal processing frameworks in Python; (2) PyTorch and Lightning; (3) MLFlow and Numpy; (4) Scipy; and (5) Matplotlib. Telecommuting: Hybrid, 2 days per week WFH. Applicants who are interested in this position should apply https://www.bosch.us/careers/, search [Deep Learning Engineer II (Multiple Positions) / REF286216I]

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