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Remote Audio Machine Learning Jobs (NOW HIRING)

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

Vision, audio, OCR, or deepfake classification. * Designing multilingual embedding systems with ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

GN Group

Machine Learning Engineer - Cloud

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154.30K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

GN Group

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Experience working with audio models or speech systems (ASR, TTS, etc.) * Experience with cloud ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Weave

Senior Machine Learning Engineer, Gen AI

$125.40K - $165.30K/yr

This position will be available for fully remote in the US with an opportunity to work in an office ... Experience with data labelling or annotation for audio or text use cases. * Understanding of ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Experience working with audio models or speech systems (ASR, TTS, etc.) * Experience with cloud ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

SARDINE

Machine Learning Engineer

Manhattan, NY · Remote

However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self ... About The Role As a Machine Learning Engineer, you'll do more than build models - you'll design the ...

New

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

3B Staffing LLC

Audio Engineer

Manhattan, NY · On-site +1

Experience supporting AI or machine learning initiatives related to audio or language. * Previous work as an AI trainer or in training data annotation for language models. * Background in media ...

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All JobsRemote Audio Machine Learning Jobs

Remote Audio Machine Learning information

See salary details

$29.5K

$84.5K

$171.5K

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

As of Jun 4, 2026, the average yearly pay for remote audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

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.

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 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 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.

More about Remote Audio Machine Learning jobs
What cities are hiring for Remote Audio Machine Learning jobs? Cities with the most Remote Audio Machine Learning job openings:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What states have the most Remote Audio Machine Learning jobs? States with the most job openings for Remote Audio Machine Learning jobs include:
What job categories do people searching Remote Audio Machine Learning jobs look for? The top searched job categories for Remote Audio Machine Learning jobs are:
Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Machine Learning Engineer

10a Labs

New York, NY • Remote

$150K - $250K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About The role: We're looking for an experienced ML engineer with a strong foundation in traditional ML and hands-on experience applying those skills to modern LLM systems. This is an applied role for someone who owns the full ML lifecycle-from data pipelines and model training to evaluation, deployment, and ongoing iteration in real-world production environments.

At least 3-8+ Years of Industry Experience Required

In This Role, You Will:

  • Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision.
  • Integrate continuous feedback loops from human review to refine model performance.
  • Design and implement real-world ML systems with a focus on robustness, observability, and scalability.
  • Collaborate with researchers and SMEs to generate training data and test against edge cases.
  • Work closely with a broader team of engineers to integrate ML components into production systems and ensure end-to-end system performance.

We're Looking For Someone Who:

  • Has designed and deployed full ML pipelines (data ingestion model training evaluation deployment feedback).
  • Comfortable working with noisy or adversarial real-world data, not just clean benchmarks.
  • Understands the performance tradeoffs between recall, precision, latency, and cost-and knows how to tune for impact.
  • Moves fast with strong instincts for where to prototype, where to systematize, and how to deliver models that hold up in production.
  • Brings curiosity, creativity, innovation, and a bias for action in ambiguous environments.

Requirements:

  • At least 3-8+ years of professional working experience as a Machine Learning engineer, building, owning and deploying machine learning systems in production.
  • Strong foundation in traditional ML techniques (e.g., clustering, anomaly detection, supervised learning).
  • Hands-on experience with LLMs (e.g., OpenAI, Claude, LLaMA), including fine-tuning and prompt engineering.
  • Proficiency in Python and modern ML / NLP tooling.
  • Experience training models on small datasets and using in-context learning techniques.
  • Familiarity with text processing pipelines, semantic embeddings, and vector search.
  • Clear communicator of complex technical concepts to non-technical audiences.
  • Experience deploying models in cloud environments (e.g., AWS, GCP).
  • Experience designing or integrating human-in-the-loop systems for model evaluation or policy alignment.

Nice To Have Experience With:

  • Real-time ML pipelines.
  • Scaled moderation or large-scale threat detection.
  • Vision, audio, OCR, or deepfake classification.
  • Designing multilingual embedding systems with code-switch detection.
  • Agentic pipelines for explainable or rationale-based moderation.
  • Rapid prototyping using modern LLM APIs and frameworks (e.g., OpenAI, Hugging Face, LangChain).
  • Error analysis and model forensics-comfortable diving into false positives and failure modes.

What Success Looks Like in the First 3 Months:

  • You've designed and deployed a functioning moderation system using semantic embeddings and fine-tuned classifiers to detect abuse at scale.
  • You've designed and refined at least one model evaluation pipeline, including precision / recall tracking and false positive analysis.
  • You've contributed meaningful ideas to data strategy-synthetic generation, clustering schema, or policy alignment tuning.
  • You've owned a full subsystem-from ideation to deployment-and seen it hold up under real usage and scrutiny.

Compensation & Benefits:

  • Salary Range: $150K-$250K, depending on professional experience, location, and other factors.
  • Bonus: Performance-based annual bonus.
  • Professional Development: Support for continuing education, conferences, or training.
  • Work Environment: Fully remote, U.S.-based.
  • Health Benefits: Comprehensive health, dental, and vision coverage.
  • Time Off: Generous PTO and paid holiday schedule.
  • Retirement: 401(k) plan.

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