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Freelance Audio Machine Learning Jobs in New York

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 ...

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 ...

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.

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 ... Develop, evaluate, and deploy audio models spanning cloud models to resource-constrained on-device ...

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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Freelance Audio Machine Learning information

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 are the most commonly searched types of Audio Machine Learning jobs in New York? The most popular types of Audio Machine Learning jobs in New York are:
What are popular job titles related to Freelance Audio Machine Learning jobs in New York? For Freelance Audio Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Freelance Audio Machine Learning jobs in New York look for? The top searched job categories for Freelance Audio Machine Learning jobs in New York are:
What cities in New York are hiring for Freelance Audio Machine Learning jobs? Cities in New York with the most Freelance Audio Machine Learning job openings:
Infographic showing various Freelance Audio Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

NxT Level

Manhattan, NY • On-site

$133K - $176K/yr

Full-time

Re-posted 14 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.