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Remote Audio Machine Learning Jobs in Naperville, 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 ...

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 ...

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.

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 ...

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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Remote Audio Machine Learning information

See Naperville, IL salary details

$29.5K

$84.3K

$171.2K

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

As of Jun 24, 2026, the average yearly pay for remote audio machine learning in Naperville, IL is $84,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $112,800.00 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 are popular job titles related to Remote Audio Machine Learning jobs in Naperville, IL? For Remote Audio Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Audio Machine Learning jobs in Naperville, IL look for? The top searched job categories for Remote Audio Machine Learning jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Remote Audio Machine Learning jobs? Cities near Naperville, IL with the most Remote Audio Machine Learning job openings:
Trading Strategy Software Engineer

Trading Strategy Software Engineer

BlackEdge Capital

Chicago, IL • On-site

Full-time

Posted 6 days ago


Job description

The Role
BlackEdge Capital is hiring a Trading Strategy Software Engineer to join our technology team and build the systems at the heart of a high frequency, machine learning driven trading effort that operates at the nanosecond level. This is a focused, ambitious initiative at an early stage, which means real ownership and the chance to shape the systems and the codebase from the ground up. Members of our executive team are hands on in this work right now, so you will build alongside the people setting the firm's long-term technical and trading direction.
You will own performance critical software in C++, co-design the hot path with our FPGA hardware engineers, and work shoulder to shoulder with researchers to move machine learning models from idea to live trading. This is a role for someone energized by sitting at the intersection of low-level systems, custom hardware, and applied research, where every nanosecond on the path from signal to order matters.
What You'll Do
  • Design, build, and relentlessly optimize nanosecond level trading systems in C++, owning code from architecture through live production.
  • Partner closely with hardware engineers on FPGA integration, co-designing the software/hardware logic split and communication across that boundary.
  • Work directly with researchers to take machine learning signals from idea to development to production by integrating them into our automated trading system.
  • Keep the codebase clean: we favor a pragmatic, deliberately chosen subset of modern C++ that prioritizes simplicity, clarity, and maintainability.
What We're Looking For
  • Pragmatic C++: Strong command of modern C++ in performance critical systems, with the judgment to keep code simple and clear.
  • Systems depth: Deep understanding of operating system design, cache behavior, memory, and concurrency and how they can be tuned to extract performance.
  • Low latency mindset: A demonstrated ability to design and reason about latency critical software; you think in nanoseconds, not just milliseconds.
  • Collaboration: You enjoy working across boundaries and communicate well with people from diverse backgrounds and skills.
Nice to Have
  • Hands on experience with FPGAs, HLS, or close software/hardware co design.
  • Kernel bypass networking (ef_vi / OpenOnload, DPDK) and low-level network programming.
  • Exposure to machine learning, quantitative research, or production model deployment.
  • Familiarity with futures markets or market microstructure.
About BlackEdge Capital
BlackEdge Capital is a proprietary options market maker built on industry leading technology and a deeply collaborative culture. We compete at the highest technical level in electronic markets, and we win by pairing exceptional engineering with incisive research. Everyone here is a genuine partner in the trading process, embedded in the strategy, close to the technology, and shaping the direction of the firm itself.
How We Work
We are Chicago based and support remote work. We value clarity and simplicity over cleverness for its own sake, tight feedback loops between trading, technology, and operations, and people who take ownership end to end.
Compensation is highly competitive, with significant upside clearly and explicitly tied to firm profit and individual performance. Our model is transparent: bonuses are a share of firm profit, and because your share scales with your performance, a strong year for you and the firm compounds.
Interested? Send us your resume and a short note on where you see yourself contributing at BlackEdge. Humans review every submission.
BlackEdge Capital is an equal opportunity employer. We evaluate candidates on the merit of their work and welcome applicants of every background.