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Audio Machine Learning Jobs in Pennsylvania (NOW HIRING)

State of Pennsylvania

Clerical Assistant 2

Harrisburg, PA · On-site

$36K - $54K/yr

Audio Transcription: Transcribe taped interviews, communications, and recordings for station ... learning more? Additional details regarding this position can be found in the Work Schedule and ...

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Audio Machine Learning information

See Pennsylvania salary details

$29.6K

$84.7K

$171.9K

How much do audio machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for audio machine learning in Pennsylvania is $84,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $113,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

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.

Will MLE be replaced by AI?

In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

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.

What is an Audio Machine Learning job?

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.

Which 5 jobs will survive AI?

Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.

What engineer makes $500,000 a year?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.

Do audio engineers get paid well?

Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
What are the most commonly searched types of Audio Machine Learning jobs in Pennsylvania? The most popular types of Audio Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Audio Machine Learning jobs in Pennsylvania? For Audio Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning jobs in Pennsylvania look for? The top searched job categories for Audio Machine Learning jobs in Pennsylvania are:
Audio Machine Learning jobs near you
Senior AI Security Software Engineer

Senior AI Security Software Engineer

Carnegie Mellon University

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities

Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission.
Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more.
Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come.
Key Responsibilities
  • Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
  • Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
  • Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
  • Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
  • Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team

Minimum Qualifications
  • BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
  • Understanding of software engineering principles and system design
  • Experience with containerization and microservices architectures
  • Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

Preferred Qualifications
  • Experience applying statistical modeling and advanced data analytics techniques
  • Background in developing AI/ML solutions in real-world settings
  • Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
  • Experience and knowledge in cybersecurity best practices
  • Demonstrated ability to quickly learn and adapt to new technologies and domains

Why Join Us
  • Contribute to a world-class organization with significant impact on software and national security
  • Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
  • 8% employer retirement contribution (no employee contribution required)
  • Tuition benefits for employees and their dependent children
  • Flexible work arrangements and strong work-life balance
  • Paid parental and military leave
  • Professional development opportunities, including conference attendance and certifications
  • Qualify for relocation assistance and so much more.

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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