2

Remote Audio Machine Learning Jobs in Illinois (NOW HIRING)

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... remote $110,000-$150,000 The expected salary range above is applicable if the role is performed ...

Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

New

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

next page

Showing results 1-20

Remote Audio Machine Learning information

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

How does a Remote Audio Machine Learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What are the key skills and qualifications needed to thrive as a Remote Audio Machine Learning Engineer, and why are they important?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

What is a Remote Audio Machine Learning job?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.
What are the most commonly searched types of Audio Machine Learning jobs in Illinois? The most popular types of Audio Machine Learning jobs in Illinois are:
What job categories do people searching Remote Audio Machine Learning jobs in Illinois look for? The top searched job categories for Remote Audio Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Remote Audio Machine Learning jobs? Cities in Illinois with the most Remote Audio Machine Learning job openings:
AI Technical Product Owner

AI Technical Product Owner

Allied Benefit Systems

Chicago, IL • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 23 days ago


Allied Benefit Systems rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

90th of 449 rated business services


Job description

POSITION SUMMARY

This position is for a seasoned product leader ready to drive Allied’s internal AI execution. The Product Owner will be at the forefront of deploying GenAI, predictive modeling, and intelligent automation in real business workflows. The position will work across engineering, data science, and business teams to deliver AI capabilities that solve real problems at scale.  

ESSENTIAL FUNCTIONS:  

  • Deliver AI capabilities that drive measurable business value across decision support, semantic search, predictive modeling, and generative AI use cases.  

  • Define and own product requirements, AI roadmaps, and sprint plans, ensuring clear priorities and scope.  

  • Coordinate with full-stack engineers, data scientists, and ML engineers to ensure successful, on-time delivery of AI solutions.  

  • Translate feedback and test results from QA (Quality Assurance) into actionable product improvements and refined requirements.  

  • Brief senior leadership regularly, translating technical progress into business impact and backing your plans with solid data and analysis. 

  • Collaborate with business SMEs to capture functional and non-functional requirements (e.g., latency, uptime expectations) and plan deployments around business cycles (busy vs. slow seasons).  

  • Identify opportunities to integrate AI into legacy processes for significantly improved outcomes, championing ideas to modernize workflows.  

  • Lead stakeholder engagement, including training SMEs and managing change as new AI-driven processes are introduced.  

  • Ensure all AI solutions comply with Allied’s responsible AI governance policies and are ISO 42001 audit-ready.  

EDUCATION  

  • Bachelor’s degree in related field or equivalent work experience required. 

EXPERIENCE AND SKILLS:  

  • At least 7 years in product leadership roles (Product Owner/Manager or similar), with program management experience in tech projects required.  

  • Prior AI or machine learning product management experience is a strong plus.  

  • Solid understanding of ML fundamentals and exposure to GenAI architectures (e.g., retrieval-augmented generation, vector databases, orchestration frameworks).  

  • Strong cross-functional background spanning product management, engineering processes, and business analytics/FP&A.  

  • Executive-level communication skills with the ability to present to senior leadership and translate technical concepts into business terms.  

  • Comfortable diving into technical details (data flows, APIs, model outputs) to troubleshoot issues or inform decision-making, even without hands-on coding.  

  • Agile project management tools (Jira, Azure DevOps) for backlog and release management.  

  • Azure Machine Learning and related cloud services for model deployment and MLOps.  

  • Modern AI integration components like vector databases and orchestration frameworks for managing AI services.  

  • Standard documentation and analytics tools (Confluence, Power BI, Excel) for tracking metrics, requirements, and ROI.  

POSITION COMPETENCIES

  • Accountability 

  • Analytical Problem Solving 

  • Collaboration 

  • Execution and Delivery 

  • Quality and Risk Management 

  • Systems Thinking 

  • Technical/Functional Expertise 

PHYSICAL DEMANDS

  • Computer work, long periods of sitting.

WORK ENVIRONMENT

  • Remote

Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.

The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

Compensation is not limited to base salary.  Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life & Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.

Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time.  All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process.  It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.


What Allied Benefit Systems employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom