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Music Ai Audio Python Jobs in Chicago, IL (NOW HIRING)

Cna

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

... audio, and transactional records - to unlock analytical value through scalable pipelines, RAG ... Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures ...

Catalyst Labs

ML Engineer

Chicago, IL · On-site

... audio understanding, while collaborating with cross-functional teams to drive innovation in AI ... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ...

Slang AI

Account Executive II - CHI

Chicago, IL · On-site +1

$85K - $170K/yr

... music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite ... AI and audio wizardry to make transacting via voice so enjoyable it's more human than human. By ...

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

... audio, video, and collaboration solutions ... As an Engineer II, Software , you will play a critical role in transforming cutting-edge AI/ML ...

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All JobsMusic Ai Audio Python JobsMusic Ai Audio Python Jobs in Chicago, IL

Music Ai Audio Python information

See Chicago, IL salary details

$23.7K

$144.2K

$208.6K

How much do music ai audio python jobs pay per year?

As of Aug 6, 2026, the average yearly pay for music ai audio python in Chicago, IL is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $169,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python engineer?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.
What are popular job titles related to Music Ai Audio Python jobs in Chicago, IL? For Music Ai Audio Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Chicago, IL look for? The top searched job categories for Music Ai Audio Python jobs in Chicago, IL are:
Music Ai Audio Python jobs near you

Senior Data AI Engineer

Cna

Chicago, IL • On-site

$109K - $148K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

A senior individual contributor role responsible for designing, building, and operationalizing end-to-end AI and machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio, and transactional records - to unlock analytical value through scalable pipelines, RAG architectures, vector databases, and knowledge graphs. This role may also provide guidance to others to support the building of complex technical capabilities.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Design and build AI solutions that accelerate data migration from legacy systems to the cloud, ensuring scalability, reliability, and governance compliance.

  • Design and implement scalable ingestion and transformation pipelines across structured (SQL, relational) and unstructured (documents, images, audio, email, call transcripts) data sources, applying OCR, NLP preprocessing, and document chunking strategiesoptimizedfor LLM consumption.

  • Implement modernlakehousepatterns on Google Cloud Platform (GCP) - including data governance, cataloging, and lineage tracking - to ensure data is reliably discoverable, auditable, and fit for AI/ML workloads at scale.

  • Design and implement vector databases, embedding pipelines, and knowledge graph structures that serve as the foundational retrieval layer for RAG and other AI applications.

  • Productionize and operationalize AI solutions and advanced analytics in a DevOps/MLOpsenvironment, including automated testing, monitoring, and rollback capabilities.

  • Cultivate innovation by proactively proposingnew ideasandidentifyingthe right combination of tools and frameworks to turn business problems into analytics solutions.

  • Researches,identifiesand implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Deep expertise building scalable ingestion and transformation pipelines across structured and unstructured data sources; strong background migrating workloads from legacy systems to modern cloud platforms.

  • Skilled in parsing and normalizing diverse content types - PDFs, emails, images, and call transcripts - using OCR, NLP preprocessing (tokenization, entity extraction, summarization), and document chunking strategies optimized for LLM consumption.

  • Proven experience designing and implementing vector databases (e.g., Vertex AI Vector Search, Pinecone, pgvector), embedding pipelines, and knowledge graph structures that underpin RAG and semantic search applications

  • Strong SQL and data analytical skills; experience building data marts and feature datasets for data science and ML applications.

  • Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures, LLMs, ADK, and prompt engineering techniques

  • Expertise in building ML platforms and data pipelines at scale; familiarity with major ML algorithms, deep learning, NLP, information retrieval, and data mining techniques

  • Experience with GCP services (Vertex AI, Dataflow, BigQuery, Cloud Run, Pub/Sub); comfort with distributed computing frameworks (Apache Spark, Dataproc) for large-scale data processing.

  • Solid experience managing diverse data sources including preprocessing, cleansing, and verifying data integrity to meet data science and ML requirements

  • Demonstrated experience with machine learning, deep learning, information retrieval, NLP, or data mining - particularly applied to unstructured or semi-structured data

  • Hands-on experience with vector databases, embedding models (e.g., text-embedding-gecko, OpenAI Ada, Cohere), and end-to-end RAG pipeline design

  • Experience using Agile methods preferred.

  • Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.

  • Preferred experience with the insurance industry, its products and services.

  • Experience in implementing big data processing technology. Apache Spark preferred.

Education & Experience

  • Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science, or a related technical field (or equivalent experience);Master's Degreepreferred.

  • Typically7+ years of experience in data engineering, ArtificialIntelligenceor Machine Learning.

  • 2+ years of codingproficiencyin at least one programming language (Python, Java, SQL).

  • Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visitcnabenefits.com.


CNAutilizesAI-enabled technology during the recruiting process. For more information, please visitourcareers page.


CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contactleaveadministration@cna.com

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