The Machine Learning Engineer II will create and validate machine learning models, innovate ... forecasting, or audio/video processing • Proven track record of developing, deploying and ...
The Machine Learning Engineer II will create and validate machine learning models, innovate ... forecasting, or audio/video processing • Proven track record of developing, deploying and ...
As a Machine Learning Engineer II, you will be responsible for creating and validating machine ... forecasting, or audio/video processing • Proven track record of developing, deploying and ...
As a Machine Learning Engineer II, you will be responsible for creating and validating machine ... forecasting, or audio/video processing • Proven track record of developing, deploying and ...
WI · On-site
$110 - $180/hr
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with ... audio/video processing * Proficient developing and debugging code in an embedded environment in a ...
WI · On-site
$110 - $180/hr
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with ... audio/video processing * Proficient developing and debugging code in an embedded environment in a ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate ... forecasting, or audio/video processing * Proven track record of developing, deploying and ...
WI · On-site
$70 - $90/hr
One of the engineering teams, the Audio Software team, is now looking for a passionate engineer to ... Machine Learning, or a closely related technical field * Programming experience in C++ or Python ...
New
WI · On-site
$70 - $90/hr
One of the engineering teams, the Audio Software team, is now looking for a passionate engineer to ... Machine Learning, or a closely related technical field * Programming experience in C++ or Python ...
New
Senior Software Engineer Applied AI
Madison, WI · On-site
$150 - $220/hr
... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Audio handling and the quirks of real human conversation (interruptions, timing, noise)
Senior Software Engineer Applied AI
Madison, WI · On-site
$150 - $220/hr
... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Audio handling and the quirks of real human conversation (interruptions, timing, noise)
Senior Software Engineer Applied AI
Madison, WI · On-site
$123K - $162K/yr
... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Audio handling and the quirks of real human conversation (interruptions, timing, noise)
New
Senior Software Engineer Applied AI
Madison, WI · On-site
$123K - $162K/yr
... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Audio handling and the quirks of real human conversation (interruptions, timing, noise)
New
Research Assistant
$21 - $31/hr
... creating audio captcha technology. The candidate should be well-informed about the scientific ... in machine learning and data science; advanced degrees may offset experience requirements ...
Research Assistant
$21 - $31/hr
... creating audio captcha technology. The candidate should be well-informed about the scientific ... in machine learning and data science; advanced degrees may offset experience requirements ...
WI · On-site
$110 - $160/hr
Participate in developing models using statistical or machine learning techniques and collaborate ... Familiarity with multimodal AI, including vision-language models, speech and audio models, and ...
New
WI · On-site
$110 - $160/hr
Participate in developing models using statistical or machine learning techniques and collaborate ... Familiarity with multimodal AI, including vision-language models, speech and audio models, and ...
New
AI Data Specialist - Wisconsin (US)
Milwaukee, WI · On-site +1
... content types (audio, video, images, or collected data) What we're looking for: - English ... Experience in one or more of the following areas: machine learning tasks, data collection and ...
AI Data Specialist - Wisconsin (US)
Milwaukee, WI · On-site +1
... content types (audio, video, images, or collected data) What we're looking for: - English ... Experience in one or more of the following areas: machine learning tasks, data collection and ...
AI Data Specialist - Wisconsin (US)
Milwaukee, WI · On-site +1
... content types (audio, video, images, or collected data) What we're looking for: - English ... Experience in one or more of the following areas: machine learning tasks, data collection and ...
AI Data Specialist - Wisconsin (US)
Milwaukee, WI · On-site +1
... content types (audio, video, images, or collected data) What we're looking for: - English ... Experience in one or more of the following areas: machine learning tasks, data collection and ...
WI · On-site
$120 - $150/hr
... machine learning, deep learning, data science and beyond. We are on a mission to automate sports ... E.g., production data analysis and event distribution,optimizevideo (and audio) encoding and ...
New
WI · On-site
$120 - $150/hr
... machine learning, deep learning, data science and beyond. We are on a mission to automate sports ... E.g., production data analysis and event distribution,optimizevideo (and audio) encoding and ...
New
... 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
... 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
... 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
... 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
... 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
... 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
$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
... 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
... 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
Audio Machine Learning information
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 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:
What job categories do people searching Audio Machine Learning jobs in Wisconsin look for?
The top searched job categories for Audio Machine Learning jobs in Wisconsin are:
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:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .
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:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .