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Freelance Audio Machine Learning Jobs in Newark, NJ

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

If you're excited about the future of video, audio, video content moderation, and more then you ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

If you're excited about the future of video, audio, video content moderation, and more then you ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry ... audio cues. When successful, your research will be deployed into millions of vehicles worldwide.

Sandbar

ML Engineer, Audio

New York, NY · On-site

$180K - $250K/yr

About We're looking for a machine learning engineer to help build Stream, a new conversational ... Experience developing audio / voice models is required * Experience shipping ML-based products is ...

Sandbar

ML Engineer, Audio

Manhattan, NY · On-site

They are seeking a machine learning engineer to develop a new conversational computer, working on voice, memory, and agentic control. Responsibilities : • Develop, evaluate, and deploy audio models ...

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All JobsAudio Machine Learning JobsFreelance Audio Machine Learning JobsFreelance Audio Machine Learning Jobs in Newark, NJ

Freelance Audio Machine Learning information

See Newark, NJ salary details

$66.9K

$73.2K

$77.9K

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

As of Aug 25, 2026, the average yearly pay for freelance audio machine learning in Newark, NJ is $73,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $75,800.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Audio Machine Learning vs Freelance Audio Signal Processing?

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

What job categories do people searching Freelance Audio Machine Learning jobs in Newark, NJ look for?

The top searched job categories for Freelance Audio Machine Learning jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Freelance Audio Machine Learning jobs?

Cities near Newark, NJ with the most Freelance Audio Machine Learning job openings:

Freelance Audio Machine Learning jobs near you
Infographic showing various Freelance Audio Machine Learning job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $73,200 per year, or $35.2 per hour.

Senior Machine Learning Engineer

NxT Level

Manhattan, NY • On-site

$133K - $176K/yr

Full-time

Re-posted 2 days ago

Job description

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. 

If you're excited about the future of video, audio, video content moderation, and more then you should reach out.

Core Challenges: 

  • Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly.
  • Radio Hardware: Development of proprietary software-defined radio-based devices to capture all radio dispatches in every major city, covering both analog and digital signals.

Preferred Qualifications

  • A degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
  • A strong theoretical foundation in core Machine Learning concepts and techniques.
  • Proficiency in fundamental principles of Linear Algebra, Statistics, and Probability.
  • Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
  • Familiarity with DL software frameworks like TensorFlow or PyTorch.
  • At least 3 years of experience leading and implementing effective ML solutions in large scale production environments.

Technology Environment: Go for Transactional Systems and Python for Analytic Systems running on a Kubernetes Infrastructure in GCP. Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and Typescript.

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