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Remote Audio Machine Learning Jobs in Berwyn, IL

MNF Global

Remote Patent Attorney or Patent Agent

Chicago, IL · On-site +1

$170K - $300K/yr

... Remote Are you a passionate and skilled Patent Professional looking to elevate your career? We are ... Machine Learning, e-Commerce, user interfaces, medical devices, batteries, optics, and materials ...

micro1 AI

Engineering AI Evaluator (PhD)

Chicago, IL · Remote

$80 - $90/hr

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 ...

micro1 AI

Domain Expert - (STEM PhD)

Chicago, IL · Remote

$80 - $90/hr

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 ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

... Remote Type of Hire 4 months contract They strictly want candidates from Insurance/ Claim with risk management background. The Sr Data Scientist will design and implement machine learning and NLP ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · On-site +1

$110K - $150K/yr

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 ...

OneStream

AI Product Specialist

Chicago, IL · Remote

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

OneStream

AI Engineer

Chicago, IL · Remote

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

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Showing results 1-20

All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Berwyn, IL

Remote Audio Machine Learning information

See Berwyn, IL salary details

$29.9K

$85.6K

$173.9K

How much do remote audio machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote audio machine learning in Berwyn, IL is $85,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $114,600.00 per year, depending on experience, location, and employer.

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 cities near Berwyn, IL are hiring for Remote Audio Machine Learning jobs? Cities near Berwyn, IL with the most Remote Audio Machine Learning job openings:
Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in Berwyn, IL as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,638 per year, or $41.2 per hour.
Director, Ai Architecture & Platforms - National Office (remote)

Director, Ai Architecture & Platforms - National Office (remote)

YMCA

Chicago, IL • On-site, Remote

$144K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

YMCA rating

6.1

Company rating: 6.1 out of 10

Based on 1,981 frontline employees who took The Breakroom Quiz

507th of 710 rated non-profit organizations

Job description

x
Job Description
The Director of AI Architecture & Platforms is responsible for defining, implementing, and governing the organization's enterprise AI architecture and technical strategy. This role provides leadership for the design and delivery of scalable, secure, and compliant AI platforms and solutions that enable responsible adoption of generative AI, machine learning, and advanced analytics across the organization.
Reporting to senior IT leadership, the Director establishes architectural standards and reference designs for AI solutions, with a strong emphasis on cloud-native implementation using Amazon Web Services (AWS) and managed AI services such as Amazon Bedrock. The role ensures consistent, reusable, and secure patterns for integrating leading large language models (LLMs), including Anthropic, OpenAI, and Microsoft Copilot, into enterprise applications and workflows.
The Director partners closely with product, application development, data, security, legal, and business leaders to identify, prioritize, and design high-value AI use cases. This role ensures AI solutions are developed with a strong focus on business outcomes, operational readiness, and lifecycle management-from experimentation and prototyping through production deployment and ongoing optimization.
A critical responsibility of the role is establishing and enforcing AI governance frameworks, including policies, controls, and guardrails related to model selection, data usage, risk management, explainability, monitoring, and regulatory compliance. The Director also leads AI-specific cybersecurity and risk considerations, ensuring protections against data leakage, prompt injection, model misuse, and emerging AI threat vectors.
Through technical leadership, architectural rigor, and cross-functional collaboration, the Director enables the organization to adopt AI responsibly, securely, and at scale, while accelerating innovation and delivering measurable business value.
YMCA of the USA (Y-USA) embraces a remote-first working environment which means most employees work remotely from a home office within the continental United States.
We offer a full benefits package including medical, dental, vision, defined benefit plan (retirement savings), defined contribution plan (403(b) plan, life and disability insurances, technology stipend, and generous paid time off, all in a work from anywhere in the continental U.S. workplace.
Qualifications
A successful candidate will possess a majority of the following professional and personal attributes and competencies:
  • Bachelor's degree or higher required in a relevant field such as Business, or related disciplines required.
  • Advanced degree strongly preferred.
  • 8-12 years of experience required
  • Expert functional skills, advanced industry knowledge and experience, advanced managerial skills
  • Manages multiple teams or functions
  • Strategic and operational decision-making authority
  • Highly complex tasks and managerial tasks
  • Minimal supervision

Essential Functions
  • Define and lead the enterprise AI architecture strategy, ensuring scalable, secure, and compliant adoption of generative AI and advanced analytics across the organization.
  • Design and maintain reference architectures, standards, and patterns for AI solutions, including LLM-enabled applications and platform integrations.
  • Provide architectural leadership for AI platforms built on Amazon Web Services (AWS), including the use of managed services such as Amazon Bedrock.
  • Lead the evaluation, selection, and integration of leading large language models and AI services, including Anthropic, OpenAI, and Microsoft Copilot, ensuring appropriate use and performance.
  • Partner with business, product, and technology leaders to identify, prioritize, and design high-value AI use cases aligned to strategic objectives.
  • Establish and enforce AI governance frameworks, including policies, controls, and guardrails related to data usage, model risk, compliance, and responsible AI practices.
  • Define and oversee AI cybersecurity architecture, addressing risks such as data leakage, prompt injection, model misuse, and emerging AI threat vectors.
  • Provide architectural guidance for the development and integration of AI-enabled applications, ensuring solutions are production-ready, scalable, and maintainable.
  • Enable AI lifecycle management practices, including experimentation, deployment, monitoring, optimization, and retirement of AI solutions.
  • Collaborate with data, application development, security, legal, and compliance teams to ensure AI solutions align with enterprise standards, regulatory requirements, and risk management expectations.

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