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Remote Audio Machine Learning Jobs in West Chicago, IL

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE: The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

Showing results 41-60

Remote Audio Machine Learning information

See West Chicago, IL salary details

$30.1K

$86.3K

$175.2K

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

As of Aug 9, 2026, the average yearly pay for remote audio machine learning in West Chicago, IL is $86,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $115,400.00 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?

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?

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 West Chicago, IL are hiring for Remote Audio Machine Learning jobs? Cities near West Chicago, IL with the most Remote Audio Machine Learning job openings:

Senior Data Scientist

Strike Social

Chicago, IL • Remote

Full-time

Re-posted 8 days ago


Job description

Why Work With Us

Strike is a leader in the fast growing marketing technology sector. We're not just succeeding, we're kicking butt. Come help build the next generation of advertising and marketing technology using the latest innovations including: Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data Warehouse. Strike has offices in Chicago, San Francisco, Los Angeles, New York, Singapore, Australia, Mexico, Philippines, Poland, and Thailand.

Senior Data Scientist

Who you are:

You are someone who takes pride in your work, seeks order in chaos, and wants the opportunity to work with like-minded individuals. You are a leader, not a follower, with an innovative spirit who wants to collaborate with a team of brilliant minds in our quest to generate amazing insights.

What you’ll do:

We are working on some challenging problems that require bright minds and grit to help us solve. We work in an agile environment with lots of cool toys. Our Data Scientists research and create our learning infrastructure using Python and then work with Data Engineering to build micro services into our data lake.

A career at Strike is an exciting journey where you will:

  • Partner with product development teams to research, design and implement learning systems that recommend, optimize, and predict marketing campaign performance for top brands across multiple advertising platforms including YouTube (Google Ads and DV360), Facebook/Instagram, TikTok, LinkedIn, Snapchat, Pinterest and more
  • Develop algorithms and models that inform customer activities
  • Participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse
  • Report progress, issues and status at daily and weekly stand-ups
  • Stay abreast of emerging technologies and new design approaches
  • Provide technical leadership both within and outside the technology team

What you need:

  • Bachelor’s degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering
  • 3+ years of strong mathematical and statistical data analysis experience
  • 3+ years of experimental data / modeling experience
  • 3+ years of Machine Learning experience including black box and bespoke solutions
  • 2+ years of language processing
  • 2+ years of Python development experience
  • Agile software development methodology experience and test-driven development experience
  • Take pride in writing clean dependable algorithms
  • Strong ability to analyze problems and formulate effective solutions
  • Sharp critical thinking skills, including systems and business analysis, problem analysis and resolution, and sound judgment/decision making ability
  • Proven ability to work in a rapid release product environment

Impress us with:

  • Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering
  • Experience with contextual analysis and language processing
  • Experience to develop and deploy Machine Learning and Algorithmic micro services

Working at Strike Social

Strike is a close-knit, work-hard/play-hard environment. If you want a fun, challenging and rewarding experience, apply to join our team! We are a small team working in a fast-paced environment. Working hours are flexible and remote work is encouraged.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Direct inquiries only, no recruiters please. 

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