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Audio Machine Learning Jobs in Wisconsin (NOW HIRING)

Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications ... Experience working with AI or machine learning teams in content development. * Familiarity with ...

Assistant Educator

Madison, WI · On-site

$15.50 - $20.50/hr

Work with individual children in the classroom to promote their learning and development. MINIMUM ... Proficient use of desktop and laptop computers, smartphones and tablets, printers, fax machines ...

Assistant Educator

Madison, WI · On-site

$15.50 - $20.50/hr

Work with individual children in the classroom to promote their learning and development. MINIMUM ... Proficient use of desktop and laptop computers, smartphones and tablets, printers, fax machines ...

... learning or self-service capabilities * Experience training clients or internal associates on ... This role requires use of a computer and audio equipment. Travel: This role requires regular travel ...

Audio Machine Learning information

See Wisconsin salary details

$29.8K

$85.2K

$173.1K

How much do audio machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for audio machine learning in Wisconsin is $85,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $114,100.00 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.

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.

What is the salary of audio AI engineer?

The salary of an audio AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with expertise in machine learning, signal processing, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, especially in large tech companies or startups. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.

Which 5 jobs will survive AI?

Audio Machine Learning professionals are likely to continue in roles that require creative interpretation, complex problem-solving, and domain expertise, such as audio engineers, sound designers, data scientists, AI specialists, and research scientists. These roles involve tasks that are difficult to fully automate, especially those requiring nuanced understanding of sound and human perception. Skills in programming, signal processing, and domain-specific knowledge will remain valuable in these jobs.

What engineers make $500,000?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like Python and TensorFlow can reach salaries of $500,000 or more, especially in high-cost-of-living areas or at leading tech companies. Achieving this level often requires a strong track record, specialized knowledge in audio processing, and sometimes equity or bonuses as part of compensation packages.
What are popular job titles related to Audio Machine Learning jobs in Wisconsin? For Audio Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Audio Machine Learning job openings in Wisconsin as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Temporary. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $85,245 per year, or $41 per hour.

Machine Learning Engineer II

Techtronic Industries - TTI

Brookfield, WI • On-site

Full-time

Posted 6 days ago


Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

94th of 418 rated machine equipment manufacturers


Job description

Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology. Founded in 1985, the company is headquartered in Kwai Tsing, HKG, with a team of 10001+ employees. The company is currently Late Stage.

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