Experience with classical machine learning techniques and modern neural network architectures for audio processing. * Experience with Matlab for testing, control and algorithm development.
Experience with classical machine learning techniques and modern neural network architectures for audio processing. * Experience with Matlab for testing, control and algorithm development.
Embedded Firmware Engineer - PC Audio
Chandler, AZ · On-site
$101K - $138K/yr
Experience with classical machine learning techniques and modern neural network architectures for audio processing. * Experience with production software in a Continuous Integration (CI) environment.
Embedded Firmware Engineer - PC Audio
Chandler, AZ · On-site
$101K - $138K/yr
Experience with classical machine learning techniques and modern neural network architectures for audio processing. * Experience with production software in a Continuous Integration (CI) environment.
AI/ML Computational Science Specialist
Scottsdale, AZ · On-site
$70K - $205K/yr
As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies Compensation at ...
AI/ML Computational Science Specialist
Scottsdale, AZ · On-site
$70K - $205K/yr
As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies Compensation at ...
Speech and/or audio processing * Acoustics * NREC (Noise Reduction and Echo Cancellation) * Electronics design * Power systems * Lithium-ion battery testing and/or modeling * Machine learning
Speech and/or audio processing * Acoustics * NREC (Noise Reduction and Echo Cancellation) * Electronics design * Power systems * Lithium-ion battery testing and/or modeling * Machine learning
Senior AI/ML & IVR Engineer GCP
$105K - $145K/yr
... machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.) * Architect and optimize IVR/Conversational AI systems integrating speech ...
Senior AI/ML & IVR Engineer GCP
$105K - $145K/yr
... machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.) * Architect and optimize IVR/Conversational AI systems integrating speech ...
Speech Language Pathologist
Bullhead City, AZ · On-site
$55.60 - $63.60/hr
Description Speech Language Pathologist- SLP Are you a Speech Language Pathologist ( SLP ) with a ... audio-visual equipment and electronic voice machines. * Observe and adapt, ensuring therapy ...
Speech Language Pathologist
Bullhead City, AZ · On-site
$55.60 - $63.60/hr
Description Speech Language Pathologist- SLP Are you a Speech Language Pathologist ( SLP ) with a ... audio-visual equipment and electronic voice machines. * Observe and adapt, ensuring therapy ...
Speech Language Pathologist- SLP Are you a Speech Language Pathologist ( SLP ) with a passion for ... audio-visual equipment and electronic voice machines. * Observe and adapt, ensuring therapy ...
Speech Language Pathologist- SLP Are you a Speech Language Pathologist ( SLP ) with a passion for ... audio-visual equipment and electronic voice machines. * Observe and adapt, ensuring therapy ...
IVR/Chat Developer (Amelia)
Phoenix, AZ · On-site
$119K - $155K/yr
Expertise in speech-to-text, text-to-speech, and designing natural, human-like voice conversations. • NLP & Machine Learning: Strong background in Natural Language Processing, intent recognition ...
IVR/Chat Developer (Amelia)
Phoenix, AZ · On-site
$119K - $155K/yr
Expertise in speech-to-text, text-to-speech, and designing natural, human-like voice conversations. • NLP & Machine Learning: Strong background in Natural Language Processing, intent recognition ...
We are also pioneering in areas such as digital biomarkers, machine learning, pediatric speech interventions, genetic basis of speech and language disorders, and language and literacy development in ...
We are also pioneering in areas such as digital biomarkers, machine learning, pediatric speech interventions, genetic basis of speech and language disorders, and language and literacy development in ...
Speech Language Pathologist Assistant
Phoenix, AZ · On-site
$16.01 - $18.38/hr
... as office machines for preparing material. * Prepare quarterly, or more frequent if needed ... Child development and learning. * Behavior management. * Process for developing and implementing ...
Speech Language Pathologist Assistant
Phoenix, AZ · On-site
$16.01 - $18.38/hr
... as office machines for preparing material. * Prepare quarterly, or more frequent if needed ... Child development and learning. * Behavior management. * Process for developing and implementing ...
Speech Language Pathologist Assistant
$16.01 - $18.38/hr
... office machines for preparing material.Prepare quarterly, or more frequent if needed, progress ... Child development and learning.Behavior management.Process for developing and implementing IEPs.
Speech Language Pathologist Assistant
$16.01 - $18.38/hr
... office machines for preparing material.Prepare quarterly, or more frequent if needed, progress ... Child development and learning.Behavior management.Process for developing and implementing IEPs.
Engage in continuous professional learning to enhance therapeutic effectiveness. * Note: The above ... Use standard office equipment such as a personal computer, copy machine, fax machine, telephone.
Engage in continuous professional learning to enhance therapeutic effectiveness. * Note: The above ... Use standard office equipment such as a personal computer, copy machine, fax machine, telephone.
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
Software Engineer, Data Infrastructure & Acquisition - Tucson, AZ, USA
Tucson, AZ · On-site
$108K - $130K/yr
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
Software Engineer, Data Infrastructure & Acquisition - Tucson, AZ, USA
Tucson, AZ · On-site
$108K - $130K/yr
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
Software Engineer, Data Infrastructure & Acquisition - Scottsdale, AZ, USA
Scottsdale, AZ · On-site
$115K - $138K/yr
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
Software Engineer, Data Infrastructure & Acquisition - Scottsdale, AZ, USA
Scottsdale, AZ · On-site
$115K - $138K/yr
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
... learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster ...
Audio Speech Machine Learning information
What are some common challenges faced when developing machine learning models for audio speech applications?
A key challenge in audio speech machine learning roles is dealing with diverse and noisy audio data, which can significantly affect model accuracy. Additionally, models must be robust to different accents, languages, and speaking styles, requiring large and varied datasets for training and validation. Collaboration with data engineers, linguists, and software developers is often necessary to ensure high-quality data pipelines and model integration into production systems. Staying updated with the latest research and optimizing models for real-time performance are also ongoing aspects of the role.
What is an Audio Speech Machine Learning Engineer?
An Audio Speech Machine Learning Engineer is a specialized professional who designs, develops, and implements machine learning models that process and analyze audio and speech data. Their work involves tasks like speech recognition, speaker identification, and audio event detection by leveraging algorithms and large datasets. These engineers collaborate with data scientists, software developers, and linguists to create applications such as voice assistants, transcription tools, and automated customer service systems. Expertise in signal processing, deep learning frameworks, and programming languages like Python is crucial for this role.
What is the difference between Audio Speech Machine Learning vs Speech Data Analyst?
| Aspect | Audio Speech Machine Learning | Speech Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degree in Data Analysis, Statistics, or related fields; experience with data tools |
| Work Environment | Research labs, tech companies, AI startups | Data analysis teams, research institutions, tech firms |
| Industry Usage | Developing speech recognition, voice assistants, NLP applications | Analyzing speech datasets, improving speech models, reporting insights |
Audio Speech Machine Learning focuses on developing algorithms for speech recognition and processing, often involving model training and AI development. Speech Data Analysts interpret speech data, generate insights, and support model improvements. Both roles require strong analytical skills, but their core tasks differ: one builds models, the other analyzes data.
What are the key skills and qualifications needed to thrive as an Audio Speech Machine Learning Engineer, and why are they important?
To thrive as an Audio Speech Machine Learning Engineer, you need a solid background in machine learning, signal processing, and programming (typically Python), along with a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow or PyTorch, audio processing libraries (such as Librosa), and experience with speech datasets and ASR systems are commonly required. Critical soft skills include problem-solving, innovation, and effective communication for collaborating with cross-functional teams. These skills are essential to develop accurate, scalable speech recognition systems that advance voice-driven technology.
What are popular job titles related to Audio Speech Machine Learning jobs in Arizona? For Audio Speech Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Audio Speech Machine Learning jobs in Arizona look for? The top searched job categories for Audio Speech Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Audio Speech Machine Learning jobs? Cities in Arizona with the most Audio Speech Machine Learning job openings:
Job description
For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
Cirrus Logic is seeking a highly skilled Python Audio Application Developer to design and develop critical internal and customer-facing algorithms, along with configuration, calibration, and test tools, for our industry-leading mixed-signal ICs. In this role, you'll build sophisticated demonstration, calibration, and tuning tools, as well as testing platforms that showcase our IP, help win new business, and ensure system quality. You'll also collaborate closely with field application engineers and customers to integrate our technology into next-generation consumer products and provide customers tools for their development and production processes.
Responsibilities
Required Skills and Qualifications
Preferred Skills and Qualifications
Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.
Cirrus Logic is seeking a highly skilled Python Audio Application Developer to design and develop critical internal and customer-facing algorithms, along with configuration, calibration, and test tools, for our industry-leading mixed-signal ICs. In this role, you'll build sophisticated demonstration, calibration, and tuning tools, as well as testing platforms that showcase our IP, help win new business, and ensure system quality. You'll also collaborate closely with field application engineers and customers to integrate our technology into next-generation consumer products and provide customers tools for their development and production processes.
Responsibilities
- Design and develop algorithms, real-time testing and tuning software for Cirrus Logic ICs.
- Build host-side Python applications to test, configure and demonstrate Cirrus Logic ICs.
- Collaborate with cross-functional teams including hardware, software tools, applications, and SQA.
- Support customer integration and field engineering efforts.
Required Skills and Qualifications
- BS or MS in Computer Science, Electrical Engineering, or related field.
- 5+ years of experience in audio signal processing and interfacing with hardware and drivers on Windows platforms.
- Customer-facing development experience in the Laptop/Desktop PC space.
- Advanced proficiency with Python application development, particularly hardware interfacing, and solid C/C++ experience
- Excellent communication and documentation abilities.
Preferred Skills and Qualifications
- Experience with audio related electronics (codecs, filters, amplifiers, etc.)
- Strong lab experience with acoustic measurement and audio quality evaluation metrics
- Experience with classical machine learning techniques and modern neural network architectures for audio processing.
- Experience with Matlab for testing, control and algorithm development.
- Familiarity with Git, Visual Studio, Visual Studio Code, and PyTorch.
- Knowledge of debugging tools (JTAG, SWD, GDB) and peripheral interfaces (SPI, I2C, etc.).
Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.
About Cirrus Logic
Sourced by ZipRecruiter
Industry
Semiconductor and electronic component manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Austin, TX, US
Year founded
1981