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Remote Audio Machine Learning Jobs in New York, NY

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/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: 165-225K USD yearly plus benefits plus ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Spotify

Research Scientist - Generative Audio

New York, NY · On-site +1

$133K - $190K/yr

You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...

Dataminr

Senior Director, AI Engineering

Manhattan, NY · On-site +1

You will drive technical strategies that translate complex AI, Deep Learning and Machine Learning ... This US-based role can be remote or based out of our New York City office. AI Innovation at ...

Dataminr

Senior Director, AI Engineering

New York, NY · Remote

You will drive technical strategies that translate complex AI, Deep Learning and Machine Learning ... This US-based role can be remote or based out of our New York City office. AI Innovation at ...

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Showing results 21-40

All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in New York, NY

Remote Audio Machine Learning information

See New York, NY salary details

$32.3K

$92.4K

$187.6K

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

As of Aug 21, 2026, the average yearly pay for remote audio machine learning in New York, NY is $92,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $123,600.00 per year, depending on experience, location, and employer.

What is a remote audio machine learning?

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 the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

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 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.

What are the most commonly searched types of Audio Machine Learning jobs in New York, NY?

The most popular types of Audio Machine Learning jobs in New York, NY are:

What are popular job titles related to Remote Audio Machine Learning jobs in New York, NY?

For Remote Audio Machine Learning jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Remote Audio Machine Learning jobs in New York, NY look for?

The top searched job categories for Remote Audio Machine Learning jobs in New York, NY are:

Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in New York, NY as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,397 per year, or $44.4 per hour.

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Re-posted 15 days ago

Job description

Machine Learning Engineer - Search, Ranking & Personalization
Stage: Seed
Founded: 2022
---
Key Job Information

  • <
    • i>Location: New York, NY / San Francisco, CA (Remote OK)
  • <
    • i>Employment Type: Full-Time
  • <
    • i>Experience Level: 3+ years
  • <
    • i>Salary Range: $190,000 - $260,000 per year
  • <
    • i>Equity: Competitive equity package
  • <
    • i>Visa Sponsorship: H-1B, O-1, OPT
    ---
    About the Company
    Client is a fast-growing shopping platform with over 350,000 active users and a 90% retention rate. The company is focused on building intelligent, personalized search and ranking systems to help users discover and trust products at scale. The team is composed of experienced engineers from leading consumer tech companies such as Pinterest and Amazon.
    ---
    Role Summary
    As a Machine Learning Engineer at Client's company, you will join the ML team to design, build, and scale machine learning systems that drive search, ranking, and personalization across a platform serving hundreds of millions of items daily. This is a highly impactful role where your work directly influences user retention and trust. You will collaborate with a world-class team of engineers and play a key part in defining the ML search and personalization strategy from the ground up. The position is open to fully remote candidates.
    ---
    Key Responsibilities
  • D
    • esign, train, and deploy large-scale search, ranking, and personalization models.
  • H
    • andle hundreds of millions of items daily with high performance and reliability.
  • C
    • ollaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • C
    • ontinuously improve model accuracy and system scalability.
  • C
    • ontribute to product direction and technical roadmap for Client's ML systems.
    ---
    Requirements
    Must-Have Qualifications:
  • M
    • inimum of 3+ years professional experience building and deploying ML models in production.
  • P
    • roven experience with ranking, recommendation, or personalization systems.
  • P
    • roficiency in PyTorch and large-scale data processing for real-time inference.
  • S
    • trong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • W
    • illingness to work in a high-intensity, fast-paced startup environment.
  • B
    • ased in New York or remote in San Francisco.
    Preferred Background:
  • C
    • urrent or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
  • P
    • revious work on consumer-facing search or recommendation products.
    ---
    Benefits & Perks
  • $
    • 190K-$260K base salary plus competitive equity.
  • D
    • irect impact on a core product with a massive, high-retention user base.
  • W
    • ork alongside top-tier engineers from leading consumer tech companies.
  • F
    • ast-paced startup culture with rapid iteration and experimentation.
  • O
    • pportunity to build the ML search and personalization strategy from scratch.
    ---
    Interview Process
    1. Intro call with Head of Recruiting
    2. Technical Interview
    3. Coding Interview
    4. CTO Interview
    5. Onsite Interview
    6. Offer Extended
    7. Hire
    ---
    Candidate Guidelines
    Green Flags:
  • E
    • xperience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads).
  • S
    • trong track record shipping high-impact ML features in consumer products.
  • E
    • arly-stage or startup experience with end-to-end ownership of ML pipelines.
  • D
    • emonstrated "builder" mindset - side projects, prototypes, hackathon wins.
  • H
    • igh intrinsic motivation and interest in future entrepreneurship.
    Red Flags:
  • P
    • rimarily B2B search experience with limited data complexity.
  • R
    • esearch-only background without production deployment.
  • P
    • refers management over hands-on technical work.
  • S
    • truggles with ambiguity or high-intensity work environments.
  • U
    • nwilling to relocate or adapt to NYC-based team culture.
    ---
    Ideal Companies
  • A
    • mazon
  • e
    • Bay
  • P
    • interest
  • D
    • oorDash
  • E
    • tsy

    Fuku logo

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015

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