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Audio Speech Machine Learning Jobs in Arizona (NOW HIRING)

... machine perception. These technologies include speech, audio, imaging, computer vision, display ... learning solutions within a domain. • Acts as a technical lead for teams developing machine ...

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$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- SLP Are you a Speech Language Pathologist ( SLP ) with a passion for ... audio-visual equipment and electronic voice machines. * Observe and adapt, ensuring therapy ...

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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?

AspectAudio Speech Machine LearningSpeech Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Data Analysis, Statistics, or related fields; experience with data tools
Work EnvironmentResearch labs, tech companies, AI startupsData analysis teams, research institutions, tech firms
Industry UsageDeveloping speech recognition, voice assistants, NLP applicationsAnalyzing 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:
Multimedia Architect

Multimedia Architect

Qualcomm

Tempe, AZ • On-site

Full-time

Posted 28 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Multimedia Systems
General Summary:
Designs and develops technologies related to the generation or manipulation of content targeted at the human senses or machine perception. These technologies include speech, audio, imaging, computer vision, display, sensing, biometrics, and augmented/virtual reality. Analyzes use cases related to multimedia technologies and performs functional decomposition to drive requirements for implementation into hardware or software. Performs system analysis and uses simulation modeling to propose algorithmic or system modifications that enable optimization of performance and power.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
*Works in the lab, can use hazardous chemicals (e.g., glue, machinery).
Preferred Qualifications:
• Master's degree or Ph.D. in Computer Science, Electrical Engineering, or related field.
• 10+ years of Systems Engineering or related work experience.
• 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).
Principal Duties and Responsibilities:
• Serves as a technical expert in identifying patterns of issues in systems-level software and hardware design and implications for work across teams; provides support to multiple teams to address issues and generate solutions; creates well-defined architectures that meet ambiguous requirements and/or have a financial impact.
• Advises multiple teams in design reviews to facilitate platform development; drives evaluation of total system performance based on constraints and/or capabilities to support design integrity.
• Takes ambiguous requirements, business requirements, and aligns cross-functional efforts to ensure internal and/or external customer requirements are gathered and agreed upon; communicates a technical vision for guiding multiple teams to design products and solutions.
• Acts as a technical lead and owns complete testing for software and hardware performance and quality; supports multiple teams through testing, data analytics, and validation of design; defines specifications for software and hardware; works with leaders to guide architectural decisions related to multimedia systems-level software, hardware, and/or products.
• Ensures appropriate tools are being used and supported across multiple teams; acts as an expert in identifying patterns of issues and implications for work; supports multiple teams to address issues.
• Serves as a technical expert when leading teams by translating strategic goals and roadmaps into smaller projects and desired features; uses deep and broad technical understanding to review the team's new algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level.
• Serves as a technical expert and provides support to teams on data engineering or data management issues for machine learning solutions within a domain.
• Acts as a technical lead for teams developing machine learning solutions; reviews and helps write proposals or roadmaps for complex products; consults with staff engineers to ensure they understand development requirements for products.
• Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders.
• Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; presents the analysis and the recommended route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation.
• Acts as a technical expert to others on industry trends, competitors' products, and advances in various engineering fields related to multimedia systems products and technology; reviews technical articles and publications; shares solutions and seeks best practices from open-source community; shares expertise within and/or across teams.
• Leverages deep technical expertise to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps.
• Leads technical conversations; resolves cross functional design and technical issues related to technical area of expertise; sets expectations and is an example for teams in documenting technical and/or overall system issues; participates in patent application reviews.
Level of Responsibility:
• Working independently with no supervision.
• Providing supervision to others who may be direct reports.
• Making decisions that are significant in impact, influencing overall program or project success, finances, and/or the ability to meet objectives; errors are not readily apparent due to the complexity of work process/product or time between decisions and results; errors typically result in significant expenditure of time, resources, and funds to correct.
• Using verbal and written communication skills to convey complex and/or detailed information to multiple individuals/audiences with differing knowledge levels. May require strong negotiation and influence, communication to large groups or high-level constituents.
• Developing and administering budgets, schedules, and performance standards for functional area within the prescribed budgetary objectives of the department.
• Having a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that have substantial impact on the organization).
• Completing tasks that require multiple steps that can be performed in various orders; tasks require simultaneously executing multiple cognitive abilities and maintaining information in short- or long-term memory.
• Regularly determining what needs to be done and is involved with sharing innovative solutions to achieve broad policies and objectives.
• Working on abstract problems in variable situations that typically require complex analysis, interpretation, or evaluation of intangible factors; directing the resolution of complex problems that have impact beyond own area; participating in corporate development of methods, techniques, and evaluation criteria for projects, programs, and people.
• Participates in the organization's planning process, interpreting business strategies, establishing strategic plans and objectives for multiple areas and functions; decisions may affect entire organization.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$190,800.00 - $286,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985