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Audio Machine Learning Jobs in Pennsylvania (NOW HIRING)

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience handling multimodal data including text, images, audio, and other sensors. Experience in ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience handling multimodal data including text, images, audio, and other sensors. Experience in ...

... Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, optimize models focused on audio data, and collaborate with cross ...

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

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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 Sep 10, 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 is an audio machine learning?

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.

What does an audio machine learning do?

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 are the key skills and qualifications needed to thrive in audio machine learning?

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.

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 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:

Infographic showing various Audio Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $84,658 per year, or $40.7 per hour.

Machine Learning Engineer

Pittsburgh, PA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 5 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of impactful Apple features. Within MIND, you'll engage in cutting-edge research in fields such as Foundation Models and Perception, and collaborate to create end products that have high impact on Apple users. This role places a strong emphasis on shipping ML-based features and products. You'll be involved in the entire end-to-end ML development pipeline, which encompasses creative approaches to dataset curation, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in exploring new ideas and is willing to iterate on concepts. We value team members who can swiftly prototype and iterate, ultimately resulting in high-quality implementations.
Description
Our team seeks a self-driven machine learning engineer with strong experience in building ML training pipelines and developing production-quality inference infrastructure. In this role, you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as build the production software to integrate these models and related functionality within Apple's software infrastructure. In addition, as part of the development process you are expected to build real-time demos and visualizations of sensing data streams and model predictions.
Minimum Qualifications
A PhD in computer science, computer engineering, or relevant Fields. Alternately, a BS or an MS + 3 to 5 years of ML engineering experience also qualifies.
Strong foundation in machine learning, and more specifically in LLM and multimodal foundation models.
Experience in building model training/eval pipelines in Python/PyTorch.
Experience in prototyping and developing software applications (preferably in Swift).
Experience with sensors and sensing systems.
Strong communication and presentation skills.
* Ability to work in a collaborative environment.
Preferred Qualifications
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow.
Experience in on-device ML model deployment and on-device optimization.
Experience handling multimodal data including text, images, audio, and other sensors.
Experience in developing production software.
Proficient in Swift, Objective-C, C++, or Go

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976